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IPA 93-13.02 PROCEEDINGS INDONESIAN PETROLEUM ASSOCIATION Twenty First Annual Convention, October 1992 GEOCHEMICAL INVERSION - A MODERN APPROACH TO INFERRING SOURCE-ROCK IDENTITY FROM CHARACTERISTICS OF ACCUMULATED OIL AND GAS K. K. Bissada * L. W. Elrod * L. M. Darnell * H. M. Szymczyk J. L. Trostle * ABSTRACT In recent years, petroleum geochemists have been re- focussing their efforts on developing practical means for inferring, from hydrocarbon chemistry and geologic constraints, the "provenance" of hydrocarbon accumulations, seeps or stains. This capability, referred to here as "Geochemical Inversion", can be invaluable to the explorationist in deriving clues as to the character, age, identity, maturity and location of an accumulation's source rocks and in evaluating a petroleum system's hydrocarbon supply volumetrics: This is particularly true where pertinent source-rock' information may be absent because exploratory drilling focused strictly on structural highs and failed to penetrate the deeply buried, effective basinal source facies. Advances in chemical analysis technology over the last decade have facilitated the development of powerful geochemical methods for deconvolution of complex chemistries of crude oil and natural gas at the molecular and subatomic levels to extract specific information on the hydro- carbons' source. Inferences on such factors as organic matter make-up, depositional environment, lithology, age and maturity of the source can frequently be drawn. These, together with a sound analysis of the geologic and architectural constraints on the system, can supply clues as to the identity and location of the probable source sequence. This paper describes the principles underlying geochemical "inversion" and provides examples of its application in exploration and exploitation settings. Inversion of geochemical characteristics of migrated hydrocarbon fluids to specific attributes of the source * Texaco Inc., E&P Technology Department is demonstrated. The paper will also illustrate the utilization of systematic variations in fluid chemistry within a geologic setting to infer source location, degree of hydrocarbon mixing and relative migration distance. INTRODUCTION As economics of oil and gas become more complex, explorationists often are required to go beyond conven- tional trap identification and trap capacity deter- mination. Objective assessments of hydrocarbon supply and migration patterns are becoming critical elements in evaluating many exploration and exploitation opportunities. Addressing hydrocarbon-supply volu- metrics and migration patterns requires systematic analyses of source attributes, source distribution, transformation potentials, level of thermal transfor- mation, source-to-trap transfer, efficiencies, and correlation of any encountered hydrocarbons (seeps, stains or accumulations) to one another and to the. source rocks from which they were generated and expelled. Whereas oil and gas samples are often readily available for characterization and correlation analyses, pertinent source rock information is frequently absent because exploratory drilling typically focuses on structural highs and seldom samples the deeply buried, effective basinal source facies (Figure 1). Explorationists are left with three options: (1) Make arbitrary assumptions on the subsurface attributes of the system, (2) forecast these attributes utilizing conceptual and geochemical models constrained by physico-chemical principles, or (3) utilize the chemical characteristic of any encountered hydrocarbons to infer the possible character, maturity and identity of the potential source system. In this paper we will focus on this third approach which we refer to as "geochemical inversion". © IPA, 2006 - 21st Annual Convention Proceedings, 1992

IPA92!13!02 Geochemical Inversion, For Oil-source Correlation

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  • IPA 93-13.02

    PROCEEDINGS INDONESIAN PETROLEUM ASSOCIATION Twenty First Annual Convention, October 1992

    GEOCHEMICAL INVERSION - A MODERN APPROACH TO INFERRING SOURCE-ROCK IDENTITY FROM CHARACTERIST ICS OF ACCUMULATED

    OIL AND GAS

    K. K. Bissada * L. W. Elrod *

    L. M. Darnell * H. M. Szymczyk

    J. L. Trostle *

    ABSTRACT

    In recent years, petroleum geochemists have been re- focussing their efforts on developing practical means for inferring, from hydrocarbon chemistry and geologic constraints, the "provenance" of hydrocarbon accumulations, seeps or stains. This capability, referred to here as "Geochemical Inversion", can be invaluable to the explorationist in deriving clues as to the character, age, identity, maturity and location of an accumulation's source rocks and in evaluating a petroleum system's hydrocarbon supply volumetrics: This is particularly true where pertinent source-rock' information may be absent because exploratory drilling focused strictly on structural highs and failed to penetrate the deeply buried, effective basinal source facies. Advances in chemical analysis technology over the last decade have facilitated the development of powerful geochemical methods for deconvolution of complex chemistries of crude oil and natural gas at the molecular and subatomic levels to extract specific information on the hydro- carbons' source. Inferences on such factors as organic matter make-up, depositional environment, lithology, age and maturity of the source can frequently be drawn. These, together with a sound analysis of the geologic and architectural constraints on the system, can supply clues as to the identity and location of the probable source sequence. This paper describes the principles underlying geochemical "inversion" and provides examples of its application in exploration and exploitation settings.

    Inversion of geochemical characteristics of migrated hydrocarbon fluids to specific attributes of the source

    * Texaco Inc., E&P Technology Department

    is demonstrated. The paper will also illustrate the utilization of systematic variations in fluid chemistry within a geologic setting to infer source location, degree of hydrocarbon mixing and relative migration distance.

    INTRODUCTION

    As economics of oil and gas become more complex, explorationists often are required to go beyond conven- tional trap identification and trap capacity deter- mination. Objective assessments of hydrocarbon supply and migration patterns are becoming critical elements in evaluating many exploration and exploitation opportunities. Addressing hydrocarbon-supply volu- metrics and migration patterns requires systematic analyses of source attributes, source distribution, transformation potentials, level of thermal transfor- mation, source-to-trap transfer, efficiencies, and correlation of any encountered hydrocarbons (seeps, stains or accumulations) to one another and to the. source rocks from which they were generated and expelled. Whereas oil and gas samples are often readily available for characterization and correlation analyses, pertinent source rock information is frequently absent because exploratory drilling typically focuses on structural highs and seldom samples the deeply buried, effective basinal source facies (Figure 1). Explorationists are left with three options: (1) Make arbitrary assumptions on the subsurface attributes of the system, (2) forecast these attributes utilizing conceptual and geochemical models constrained by physico-chemical principles, or (3) utilize the chemical characteristic of any encountered hydrocarbons to infer the possible character, maturity and identity of the potential source system. In this paper we will focus on this third approach which we refer to as "geochemical inversion".

    IPA, 2006 - 21st Annual Convention Proceedings, 1992

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    The explosive developments in chemical analysis technology, coupled with enhanced data processing capabilities over the last decade, have allowed the development of some very powerful geochemical methods not only for reliable oil-to-oil and oil-to- source correlation, but also for deconvolution of the complex chemistry of crude oil and natural gas at the molecular and subatomic levels to extract information on the hydrocarbons source. In principle, geochemical inversion utilizes the same types of analytical procedures used in conventional petroleum-to-source correlations (Figure 2). The derived information may include specific characteristics of the source rocks such as organic matter make-up, lithology, and maturity. These con- clusions can then lead to specific inferences about the depositional environment, age , identity and location of the hydrocarbon source sequence. The chemical signatures of the hydrocarbon fluids can also provide clues as to migration distances and fluid mixing.

    This paper is by no means a comprehensive treatise on geochemical inversion. It is intended only as an intro- ductory review of the potentials and limitations of the current technology in terms of its exploration and exploitation applications. It is hoped that the subject will draw attention to the utility of the tools in address- ing such problems as delineation of gathering areas for reserve-volumetrics analysis, predicting hydrocarbon quality and producibility for risk assessment, and defining migration paths and pay-zone inter-relation- ships for exploitation planning.

    FUNDAMENTALS OF GEOCHEMICAL INVERSION

    The basis for geochemical inversion lies in the processes that originally form the oil and gas. Petroleum originates in organic material that is deposited in aquatic environments. The organic matter accumulating in the potential source sediments possesses distinctive chemical characteristics inherited from the specific combination of organisms within the original ecosystem. These characteristics, in turn, are transferred to the generated products. Figure 3 is a schematic sketch of the processes that affect a complex organic molecule typifying the chemistry of the bio-mass as it is deposited and transformed into oil and gas through processes of digenesis, catagenesis, expulsion and migration. The starting molecule typically would be unsaturated with respect to organic hydrogen. It would have some oxygen, some sulfur and perhaps some nitrogen atoms. Molecules with this sort of structure are not stable in the geologic system. As the molecule gets buried deeper, it undergoes many changes. Mainly, oxygen and other hetero-atoms are removed and the structure becomes saturated with respect to hydrogen, eventualiy becoming a hvdrocarbon. Once the hydrocarbon

    forms, it is geologically stable, particularly if it ends up being incorporated into an oil accumulation. The product hydrocarbon retains the majority of the structure that was in the original complex organic molecule. Thus, by examining the encountered hydro- carbons, it is possible to glean what type of organic matter originally contributed to the petroleum.

    This is substantially true also at the subatomic level. The stable isotopes of carbon and hydrogen are not appreciably altered during the burial and thermal evolution of sedimentary organic matter from bio- polymer through geopolymer (kerogen) , and even- tually to oil and gas (Schoell, 1984). The inherent isotopic fractionation that sets the original isotopic composition of the parent organic matter is a normal consequence of the physical chemistry of these isotopes. For example, a normal carbon atom with mass number 12 has 6 protons and 6 neutrons in the nucleus, whereas a carbon with mass number 13 has one additional neutron in the nucleus. This means that chemically the two atoms are identical and thus will undergo the same chemical reactions in exactly the same way. 13C, being larger, however, generally reacts more slowly. Thus, when it bonds with other carbons, it forms bonds that are very slightly stronger than bonds between 12C. This difference promotes segregation between organic molecules with different relative abundances of the two isotopes. Whenever carbon gets into the biological system through the carbon cycle, the algae, bacteria or higher plants processing this carbon have a tendency to isotopically segregate it and set the 13C to 12C ratio in the given ecosystem. This fractionation occurs because of the way the two isotopes interact with the enzymatic processes. Thus, the I3C to 12C ratio will vary with the type of carbon available to the organisms during photo- synthesis, the type of organic species contributing to the oils, and with the chemical environmental stress that the organisms were subjected to, regardless of age. Different oils, then, should have distinct carbon isotope signatures.

    There are numerous factors that influence what accumulates into the primary source material and what happens to the organic matter upon deposition, trans- formation into hydrocarbons, and migration of the products through the carrier system. Variation in these factors and conditions influence not only the character of the hydrocarbon blend that is generated and entrapped, but also the isotopic composition of the carbon that makes up the hydrocarbons. These factors are summarized in Figure 4. Top among these factors are:

    I. Type of organic material in the prevailing eco- system.

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    Was it dominantly algal? Was it dominantly bacterial? Was higher-plant input significant? (Post-Silurian) Were they flowering plants (angiosperms)? (Post- Jurassic). In fact, the specific species of the biomass may have profound effects on the character of the resulting oil.

    2. Type of depositional environment. Was it marine or lacustrine? Was it deep-water (>500 m) or shallow water (>200 m) '? Was it oxidizing or reducing? Was the biological oxygen demand high? Was it hypersaline? Was it alkaline?

    3. Source-rock matrix lithology. Was it dominantly clastics? Was it dominantly carbonates?

    4. Migration factors. Was migration long-range or short? Was the carrier system highly retentive? Was entrainment of carrier constituents significant?

    In fact, migration through a highly carbonaceous carrier system could contribute substantially to the product's fingerprint.

    But this is not all. Once the oil has been generated and emplaced into the reservoir, its character can be further modified by a number of subsurface alteration processes (Figure 5) :

    5 . Alteration factors. Was the oil water-washed in the reservoir'! Was it biodegraded? To what extent? If it is a light crude/condensate, is it a primary condensate, a product of phase segregation, or thermal degradation?

    These complexities cause every oil accumulation to look a little bit different, having had different organic input, a different depositional environment or a different generation history. The effects leave their mark on the ultimate composition of the product which, in turn, allows inversion of the geochemical characteristics of the accumulated hydrocarbons to specific attributes of the generative system and its history.

    Effective geochemical Inversion requires that the geochemist consider the contribution of all the pertinent

    factors to the final composition of the hydrocarbons. The inversion process can be performed in two ways:

    1. Interpretation of attributes in the hydrocarbon composition that are directly related to the source character and identity.

    2. Interpretation of the systematic variations in fluid chemistry within the regional geologic framework and drawing inferences on sourcing direction, degree of hydrocarbon mixing, relative contribution of multiple sources, and relative migration distances. This approach capitalizes on migration-sensitive and alteration-sensitive parameters to draw the inferences.

    DIRECT INFERENCING OF SOURCE CHARACTER OR IDENTITY

    ORGANIC INPUT AND SOURCE ENVIRONMENT

    A large variety of organisms have been available for incorporation into sediments and subsequent transfor- mation into hydrocarbons. During this transformation, many of the specific organic compounds that constituted the organisms often retain much of their original structure, distribution and stereochemistry in the accumulated hydrocarbon fluid. Concurrently, the environment of deposition of the source rock can have a profound effect on the characteristics of the resultant hydrocarbons, partly because the environmental stresses alter the conditions under which the affiliated organisms grow and partly because the prevailing physicmhemical conditions modify the organic material during and immediately after deposition. Thus, the parameters for inferring depositionai environments are often intimately linked to those for inferring organic input. Careful interpretation of the distribution of the various components in the hydrocarbon fluid provides clues about the organisms that contributed to the original source organic material and/or about the environments under which the source rocks have been deposited.

    At the simplest level, the distribution of the normal paraffins in an undegraded oil can indicate the type of organic material that contributed to the source. Although algae and bacteria probably represent the common basis for all crudes (Lijmbach, 1975), contri- bution of specific compounds to the source matter m u l d impart specific characteristics on the overall crude-oil character. Thus, oils that contain high proportions of waxy paraffins (long-chain n-paraffins with > 22 carbon atoms) may be interpreted to have been genqated from sources that contain anomalously high proportions of higher plant material (waxy leaf

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    cuticle) in the kerogen mix (Figure 6-a). This, in turn, indicates proximity of the original depositional system to a source of terrestrial plant detritus; i.e., a near- shore facies. Figure 6-b shows an example from the Moray Firth area of the North Sea where the southeast- erly increase in contribution of higher plant kerogen to Kimmeridgian source rocks is indeed paralleled by a southeasterly increase in content of CIS+ waxy n-paraffins in the crudes (Bissada, 1983).

    Waxy crudes may alternately signify generation from organic matter containing abundant remains of certain lacustrine algae that are enriched in long-chain n- alkanes and alkenes. Of the numerous geochemically significant algae listed in Table I, those that could contribute waxy n-paraffin precursors are identified in the right hand column (Gelpi et al., 1970). Large accumulations of high-wax crudes are known to have been sourced from many synrift lacustrine systems around the world (e.g., Williams et al., 1985). Figure 7 illustrates the distinction between chromatograms of oils from non-marine vs. marine algal source rocks. Generally, chromatograms of non-marine- sourced oils show:

    1. Enrichment of n-paraffins in the range n-C2, to

    2. Pronounced odd:even predominance in the n-

    3 . Convex curve (relative to baseline) following the

    n-C,,.

    paraffin distributions in this range.

    n-paraffin distribution.

    In contrast, chromatograms of marine-sourced oils show:

    1. Depletion in n-paraffins above n-C,,. 2. Less pronounced odd:even predominance. 3. A concave curve following the n-paraffin distri-

    bution.

    These observations are similar to those cited by Sofer, 1984 and Peters et al., 1986.

    The ratio of pristane (Pr) to phytane (Ph) in a crude oil has frequently been used as an indicator of either relative importance of higher-plant input vs bacterial inputs (Brooks et al., 1969; ten Haven et al., 1987), or redox conditions within the depositional system (Powell and McKirdy, 1973; Didyk et al., 1978). The underlying concepts are:

    1. High Pr/Ph ratios (> 1) signify either: sub-oxic to oxic conditions, or high input of allochthonous higher-plant material.

    2 . Low Pr/Ph ratios (

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    within silled basins where the prevailing source of carbon in the photic zone is atmospheric C 0 2 (with negligible influence from the deep organic C 0 2 by virtue of its diffusion and dilution through a long and well-mixed water column).

    Stable carbon isotope compositions (13CI'zC) are usually expressed in the k-notation as parts per thousand deviation from the '3C/'2C ratio of a standard carbon compound (carbonate-carbon in the Pee Dee Belemnite) to signify the relative abundance of the rare, heavy isotope. Because carbon in petroleum is relatively more enriched in the lighter isotope than carbon of the Pee Dee standard, the 6 13C values are reported as negative numbers. Increasingly negative S I3C values indicate increasing enrichment in the lighter isotope.

    Isotopic compositions of oils ascribed to the Miocene Monterey formation invert to kerogen isotopic composition of -20 to -22 %o, suggesting deep-water facies for the source rocks. In fact, the Monterey Fm. is believed to have been deposited in silled, deep-water (>1,000 m) basins with a common overlying water body open to the Pacific Ocean (Ingle, 1981). In contrast, 6 I3C values for oils ascribed to the Devonian/ Mississippian New Albany Shale of the Illinois basin invert to kerogen 6 I3C values of -28 to -30 %o. The New Albany is believed to have been deposited in a shallow (< 200 m), restricted epicontinental sea with a well developed anaerobic water column (Rich, 1951). One can therefore generalize that isotopically heavy oils (6 13C values of -18 to - 24 %o) , whether marine or lacustrine in origin, can be attributed to deep-water facies, and isotopically light oils (6 I3C values of -26 to -32 %.I, whether marine or lacustrine, can be attributed to shallow-water facies.

    Figure 1 1 compares the compound-specific n-paraffin isotopic compositions and n-paraffin distributions of two oils of contrasting source facies. Because the n- paraffin distribution curve for the Persian Gulf oil is concave, the oil is inferred to be from a marine algal source. Furthermore, because the n-paraffins are isotopically light (6 values of -28 to -31 % o ) , the source is inferred to be a shallow-water ( t200 m> facies, probably deposited in a restricted epicontinental sea. Conversely, the South China Sea oil displays a convex, waxy n-paraffin distribution pattern, and therefore is interpreted to be sourced by a non-marine, lacustrine algal facies. Because its n-paraffins are isotopically heavy (6 13C values of -18 to -21 %o), its source rocks were probably deposited in a large, deep- water synrift trough, with restricted circulation near the bottom but active circulation in a long (>500 m) water column above.

    dnder certain circumstances a specific organism may constitute the major portion of the organic matter of a given source rock. Under these circumstances, the generated hydrocarbons inherit a very specific, diagnostic pattern in the distribution of the normal and iso-paraffins. For example, many pf the oils of West Texas, Oklahoma, and other paleozoic basins display very peculiar chemistry characteristic of primitive algae known as Gloeocupsomorphu prisca (G. prisca). The dominant features of these oils are shown in Figure 12 and summarized below:

    1. Virtual absence of paraffins larger than n-CZ2.

    2. Distinct predominance of the paraffins with odd numbers of carbon atoms in the n-C17 to n-CI9 range.

    3. Little or no isoprenoids (Figure 12) (pristane or phytane).

    4. Very light carbon isotopic compositions (6 13C 1) in the crude provides a criterion

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    to establish the dominance of the microbial or algal contribution because tricyclics are characteristi- cally absent in extracts from higher plant kerogens (Zumberge, 1987). C&s enrid. G:d in tricyclics should be interpreted to have originated in a distal marine facies far removed from any terrestrial input, or in lacustrine shales containing Type I kerogen. This criterion must, however, be tempered by the fact that the dominance of the tricyclics ~2ay merely reflect the higher thermal stability of the tricyclic terpanes and their inherent ability to persist to higher maturation levels (Schou et al., 1984).

    The presence or absence of significant quantities of oieanane in an oil should signify whether or not remains of flowering plants (angiosperms) contributed signifi- cantly to the kerogen mix within the source rocks (Philp and Gilbert, 1986). This in turn aids in inferring the extent of terrestrial input and therefore the nature of the depositional facies that sourced the oil. The utility of oleanane for this purpose is restricted to post-Middle Cretaceous systems because flowering plants did not fully evolve until that time.

    Severely anoxic depositional environments are mani- fested by unique distributions of biomarkers linked to certain sulfur-reducing bacteria that produce 28,30- bisnorhopane as a metabolic product (Katz and Elrod, 1983). Because this compound is stable in the geologic environment, it can remain with the organic material until oil is expelled, at which time it travels with the oil. Thus, oils in which the bisnorhopane is very prominent, as in the Miocene crudes of California, should be inter- preted to have originated in rocks associated with bacterial mats deposited under severely anoxic conditions.

    Recognizing the significance of oleanane and bisnor- hopane as paleoenvironmental indicators allows one to use their relative abundances in a crude oil to infer the relative contribution of terrestrial organics versus marine bacterial components. This would in turn help in delineating, or at least speculating on, the responsible source facies within the petroleum system.

    An anomalously high content of the extended hopanes (C-31 to C-35 homohopanes >75%) may indicate significant bacterial input and may imply sourcing from rocks of 1 hypersaline facies where the development of other living communities was inhibited (Dembicki et al., 1976). Hypersaline environments impart distinctive characteristics to the organic material of a source rock and consequently to the generated crude oil. Oils enriched in gammacerane and carotane, and impover- ished in. tetracyclic terpanes are interpreted to have been sourced by rocks of a hypersaline facies. Because

    hypersalinity commonly accompanies anoxic carbonate facies development, oils from hypersaline environ- ments will also display features of oils generated in carbonate/evaporite rich rocks. The following inversion criteria can be used for recognition of hypersaline facies (ten Haven, et al., 1988):

    1. Ph>>Pr. 2. Even-Odd-Preference @ C,,>>l.

    3. High abundance of squalane. 4. High abundance of regular C-25 isoprenoid. 5. High abundance of gammacerane. 6. Full complement of C-31 to C-35 extended hopane

    series maximizing at the C-35 doublet. 7. Within the C-27, C-28 and C-29 regular sterane

    series, BBR and BBS concentrations are higher than those of aaS. (i.e., C-27 BBR + C-27 BBS > C-27 aaS; C-29 BBR C-29 1313s > C-29 aaS; Figure 15).

    i.e.[2*n-C2, / {n-C,, + n-C,,}]>>l

    C-28 BBR + C-28 BBS > C-28

    In spite of the complexities and ambiguities encountered in their interpretation, the distributions of sterane biomarkers in crude oils provide valuable supporting information for geochemical inversion. Figure 15 displays the biomarker traces for a Jurassic crude oil from the Mississippi Salt Basin (USA). The tricyclic and pentacyclic terpane fragmentograms (M/Z 191) of the oil are complemented by the sterane fragmento- gram (M/Z 217) to capture as much diagnostic infor- mation as possible. In general, the oil is interpreted to have been sourced from an anoxic, possibly hypersaline, carbonate-phosphate-rich source facies. At the outset, the low abundances of the C-19 to C-22 and C-24 to C-26 tricyclic terpanes relative to the C-23 tricyclic and C-24 tetracyclic terpanes is typical of a carbonate- phosphate-rich source facies (Sofer, 1990). The lower pentacyclic terpane (hopanes) abundance relative to the steranes, reflects the strong influence of the autochthonous algal input to the source. The C-27 to (2-29 sterane ratio in a crude oil is traditionally used as an indicator of the relative importance of marine (dominantly C-27) versus terrestrial (dominantly C-29) organic matter into the source (Huang and Meinschein, 1979; Hoffman et al., 1984; Wenger et al., 1988). In the example of the Smackover crude oil described here, however, the strong predominance of the C-29 over the C-27 regular steranes cannot be interpreted along the traditional lines as higher-plant related. The character- istics documented are in fact a common feature in many CarbonateYevaporite-sourced oils. The high proportion of C-29 sterane in this situation is obviously not related to vascular plant input but perhaps to a very specific type of non-terrigenous algal population contributing a C-29 sterane precursor (Volkman, 1986; Brassel and

  • 171

    Eglinton, 1983). Examples of oils with these character- istics have been reported from the Silurian of the Michigan Basin (Rullkotter et al., 1986) and the Late Precambrian of Oman (Grantham, 1986).

    LITHOFACIES

    As noted in the previous paragraph, the chemistry of a crude oil can provide information about the lithology of the source. Since specific geologic environments will favor the deposition of certain lithologies as well as certain organisms, these parameters can overlap with those related to organic input. For example, the Smackover oil, whose fingerprints are displayed in Figure 15, shares the following distinguishing character- istics with typical oils generated from anoxic, possibly hypersaline, dominantly algal / bacterial, carbonate- rich source facies:

    1. Even carbon number n-paraffin predominance

    2. Extended C-31 to (2-35 hopanes >> 55% of total

    3. C-35/C-34 hopane ratio > 1.0; 4. Relatively high sulfur contents (Gransch and

    Posthuma, 1974; Orr, 1986); 5 . Pr/Ph ratios < 1.0; 6. Aromatic-Naphthenic character (Tissot and Welte,

    7. C-30 hopane/C-29 norhopane ratio < 1.0; 8. Moretanes < 6% of total terpane content.

    (Welte and Waples, 1973);

    hopane content;

    1984);

    Furthermore, minerals deposited with organic material can alter the material during deposition and diagenesis and thus influence the composition of the resultant biomarkers and hydrocarbons. Because clay-rich sources effectively acid-catalyze backbone rearrange- ment of regular steranes to rearranged steranes during diageneses, crude oils exhibiting enrichment in the rearranged steranes (diasteranes: C-27 R a S , RaR, and a B S ; C-28 aRS, OaR and a13R; and C-29 RaS , 8aR and a R S ) relative to the regular steranes (C-27 aaS, BBR, BBS and aaR; C-28 aaS, BRR, RRS and aaR; and C-29 aaS, RBR, BRS and aaR) can be interpreted as having been sourced from a clay-rich source facies. At the regional level, the relative proportions of regular steranes to rearranged steranes in crude oils provides clues as to the extent of clastic vs. carbonate contri- bution to the petroleum system. This, in turn, aids in delineating which part of a stratigraphic sequence is the main contributor to the system. The very low diasterane content of the Smackover oil described above (

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    (1281/1291) in Cretaceous or younger crude oils may be attainable in the near future.

    SOURCE THERMAL MATURITY

    Because the properties of oil and gas are related to the maturity of the source rocks at the time of expulsion, the molecular and isotopic compositions of the oils and gases can provide useful indices for estimating the level of thermal maturity at which the hydrocarbons were generated and expelled, provided, of course, they were not subjected to further thermal alteration subsequent to migration and emplacement in the reservoir. Because thermal maturity of subsurface sequences can be independently measured or modelled in terms of depth, temperature or time, the correlation of the two maturity estimates provides a means for inverting the information to source depth, location and, possibly, identity.

    This approach can be most useful in addressing problems of inferring depth and identity of sources of gas accumulations. The stable carbon isotopic compositions of thermogenic methane and other hydro- carbon gases (ethane, propane and butane) reflect the extent of thermal maturation of the parent kerogen in the source rocks. Several relationships have been established. Figure 16 shows the relationship between the 6 13C values of methane and the vitrinite reflectance index of its source rocks (Stahl, 1977). Faber (1987) demonstrated that thermal maturity of the source rocks can be inferred also from the relationship of the 6 13C values of the ethane and propane in the hydrocarbon mix (Figure 17). Thus, one can measure the isotopic composition of methane and ethane, use one or the other of the relationships in Figures 16 or 17 to invert the isotopic information to a thermal maturation value, and relate the latter to a depth/pick on a stratigraphic or seismic section of the subsurface.

    Figure 18 depicts a situation in which wet gas accumu- lations occur in reservoirs at 9,000 and 13,000. The isotopic composition of the methane was determined by isotope-ratio mass-spectrometry (IRMS) to be about -44 % in both cases. Using Stahls relationship of 6 13C vs. vitrinite reflectance, it was deduced that the methane has been sourced from kerogens that attained maturation levels corresponding to an R, value of 0.7%. Geochemical analysis of rocks from the entire stratigraphic sequence revealed that organic-rich rocks with varying levels of thermal maturity occur at various depths within the section. However, only the organic- rich unit near 13,500 shows R, values of about 0.7%. It is conceivable, therefore, that the gas in both reser- voirs has been sourced primarily from that unit.

    Bissada et al. (1990) used this approach to infer a pre- Tertiary source for a gas and oil discovery in the Plio- Pleistocene trend in the Gulf of Mexico. Figure 19 depicts the situation where the penetrated section never encountered an adequate source rock. The anomalously heavy carbon isotopic composition of the associated methane inverts to a kerogen thermal maturity equivalent of 2.5% R,. Thermal maturation modeling using interpreted seismic picks and regional heat-flow data indicate that this level of maturity is attained at a depth exceeding 30,000 in Cretaceous or Jurassic rocks.

    Inverting molecular composition of hydrocarbons in crude oil to thermal maturity information is more complex, and usually much less significant than inversions drawn on hydrocarbon gases. Oil generation and expulsion begin and end as pulses within a relatively narrow thermal maturation window defined by the 0.68% R, boundary near the top and the 1.2% R, boundary near the bottom (Bissada, 1982). Fluids from these pulses mix and homogenize within the overall accumulation, diluting and averaging the pulse- or depth-specific information. However, because expulsion is effected by pore-pressure-induced fractur- ing accompanying fluid build-up within the source rock, onset of expulsion will occur at the mild end of the peak generation window in very rich source rocks and at a higher maturity level in lean source rocks. Thus, a brief discussion of the significance of inversion of molecular data to thermal maturity information is warranted in this section.

    In oils that are known to have suffered no post- expulsion maturation, and those that are known to be free of spurious biomarkers entrained during migration through organically-rich (coaly) carrier systems, biomarker distributions may provide clues to the effective thermal stress and, thus, the stage of maturity at which expulsion had occurred. This, in turn, provides clues to the effective depth of burial of the source rocks, particularly in tectonically simple systems.

    Of the numerous biomarker-based thermal maturity indicators proposed in the geochemical literature, the aa-sterane epimerization products appear to be most popular (Waples and Machihara, 1991). The ratios of three pairs of peaks on the sterane GC/MS trace in Figure 15 are particularly significant:

    The C-27 aaS : C-27 aaR , the C-28 aaS : C-28 aaR , and the C-29 aaS : C-29 aaR.

    These ratios, commonly referred to as the 20S/20R epimer ratios, increase with increasing maturity. The biologically inherited forms are exclusively the aaR.

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    With increasing maturity the proportion of the 20S:20R increases as some of the 20R molecules change con- figuration to the 20s form. Ultimately an equilibrium ratio of 55% 20s : 45% 20R is attained. Beyond that point maturation of the parent kerogen can no longer be traced. From an operational point of view, the following indices may be found useful:

    Stage Equivalent R, aa(20S) :aa(20R)

    Biological precursor 0 0.3% Zero Pre-generation 0.51% 30 : 70 Onset of generation 0.55-0.68% 40 : 60 Peak gener./expulsion 0.68-0.80% 45 : 55 Equilibrium ratio > 0.8% 55 : 45

    At the higher maturity side of the generation window, another set of biomarkers may be useful as supple- ments to the 20S/20R sterane ratios. These are represented by the C-27 Ts (l8a-trisnorhopane) and the C-27 Tm (17a-trisnorhopane) peaks on the penta- cyclic triterpane trace (M/Z 191) in Figure 15. Although the ratio is somewhat dependent on organic matter input, generally, oils that are substantially expelled from the source system at maturation levels below 0.9% R, display Ts/Tm ratios of less than one. The ratio begins to increase gradually as the Tm isomer gradually disappears under increased thermal stress.

    INFERRING MIGRATION PATTERNS AND HYDROCARBONPROVENANCE

    In the previous section we dealt primarily with direct means for inferring source identity using attributes in the hydrocarbon composition that are directly related to the source character and maturity. Interpretation of the systematic variations in fluid chemistry within the regional geologic context and drawing inferences on sourcing direction, degree of hydrocarbon mixing, relative contribution of multiple sources, and relative migration distances can he even more useful. Migration- sensitive and alteration-sensitive parameters are particularly useful in this approach and integration of the geochemical data with available geologic and geophysical information is most critical.

    Robison and Bissada (1992) used this approach to identify and delineate the depth and areal extent of the unpenetrated probable effective generative sequence within the Zhu 1 depression in the Pearl River Mouth basin, South China Sea. Figure 20 depicts the situation where drilling netted numerous discoveries but en- countered no source rocks within the penetrated section. The oils show identical "genetic codes", inasmuch as their isotopic { 6 13C } and biomarker

    {isoprenoids, triterpanes (M/Z 191) and steranes (M/Z 217)) characteristics are essentially identical. The physical and gross chemical characteristics that are diagnostic of post emplacement alteration, however, show distinct differences: The shallowest oil exhibits the lowest API gravity (22.3,), the highest isoprenoid/ n-paraffin ratio (Pr/n-C,+ 4.0), and a virtually feature- less saturate hydrocarbon chromatogram. These are characteristics of a severely biodegraded crude. The degree of biodegradation appears to decrease with depth, becoming virtually imperceptible below the "biological sterility boundary" at 160" F (red horizontal marker on Figure 20). From these observations it was inferred that the oil was generated from one source system at depths below the top of the oil window (green horizontal marker on Figure 20), migrated generally up-dip from the NW towards the SE, and entrapped to spill point in structural traps along the migration path. Because the non-biodegraded crudes display non- marine, highly waxy characteristics, they are inferred to have been generated in a lacustrine source system within the synrift sequence identified on the seismic section.

    The example from the Pearl River Mouth basin is a simple one where sourcing appears to be limited to one trough in the Zhu 1 depression. In many cases, how- ever, the oil found in a reservoir may not be from a single source, but is the composite of hydrocarbons derived from two or more sources that have converged upon the same trap. In such cases the composition of the oil will display contradictory features that make classification and inversion difficult, unless a mixing scenario i s invoked. In cases where "end member" oils from each contributing source are also available, the process of deconvolution of the mixed characteristics becomes feasible. Figure 21 illustrates this application with an example from an offshore rift basin in South- east Asia. Recent discoveries indicated the existence of at least two distinct families of oils and a mixed group. Each of the two primary oil families exhibits distinctive distributions of steranes and triterpanes as well as carbon isotopic compositions that makes them easily distinguishable. The third type possesses complex characteristics that in some ways more resemble one group of oils and in other ways more resemble the other. Specifically, one family appears consistent with a freshwater to brackish lake source as evidenced by a high proportion of C3" steranes, absence of gamma- cerane, low proportion of tricyclics and waxy character. The second family exhibits high gammacerane content and an absence of C30 steranes suggesting a hypersaline, lacustrine source. The third family exhibits mixed characteristics of the other two. Placing all the infor- mation into the basinal structural framework of a system of two partially overlapping, opposing half

  • 174

    grabens (Figure 21) revealed that Group I and Group I1 oils were focussed on the hinge margins (platforms) of the two discrete generative troughs and that the mixed group was located on the interference ridge appropriately situated to receive hydrocarbons from both troughs.

    As previously discussed, the processes of segregation and alteration during migration, and subsequently in the reservoir, can have a profound effect on the ultimate composition of the produced fluids in different sites, even though they may have had a common source. Failure to consider such effects can lead to erroneous conclusions concerning the genetic relationships and the provenance of the oils. Conversely, proper consid- eration of these factors can provide additional infor- mation upon which the geoscientist can base his inferences. This is illustrated in the case example shown in Figure 22 where exploitation planning in the region required analysis of the critical factors in the hydro- carbon generation and migration process that might have controlled the observed distribution of oil and gas in the productive resexvoirs. Examination of fluids produced from numerous fields in the region revealed a variety of accumulations ranging from oils with various oil-gas ratios to virtually all gas in an apparently random pattern. The molecular and isotopic charac- teristics of all the oils inverted to a lacustrine source facies, sometimes with hypersaline attributes. Because no viable lacustrine source facies has been encountered in exploratory drilling in the area, the inference instigated a detailed examination of seismic data in search for manifestations of deep troughs within which lacustrine facies might have developed. Mapping of the positions of these troughs with the occurrence of oil vs. gas in the area (Figure 22) and superimposing the molecular and isotopic characteristics revealed that the oil-gas-condensate distribution and the biomarker patterns are related to the distance of the reservoir from the edge of the seismicly-delineated troughs.

    SUMMARY

    In this paper the principles underlying geochemical "inversion" were described and examples of its appli- cation in exploration and exploitation settings were provided. Various indices used in inversion of geo- chemical characteristics of migrated hydrocarbons to specific attributes of the source were summarized and their application in inferring character, age, identity, maturity and location of that source were discussed. The utilization of the systematic variations in fluid chemistry within a geologic setting to infer source location, degree of hydrocarbon mixing and relative migration distance were illustrated. It is hoped that thc review will draw attention to the utility of the tools in

    addressing such problems as delineation of gathering areas for hydrocarbon volumetrics analysis, predicting hydrocarbon quality and producibility for risk assess- ment, and defining migration paths and pay-zone inter- relationships for exploitation planning. Whereas the tools and techniques described here may prove invaluable to the explorationist and exploitation geologist, it is important to recognize that, as with all predictive and interpretive aspects of geoscience, any inferences or conclusions based on this methodology must be treated as probabilistic rather than absolute. The interpreter should use all available information in conjunction with the geological data in making the pertinent inferences.

    ACKNOWLEDGMENTS

    The authors are grateful to Texaco Exploration and Production Technology Department for making their facilities and data available for the work. We thank Texaco Inc. for permission to publish. We would also like to express our sincere thanks to Dr. C. R. Robison for his contribution to Figure 21 and to Dr. P. A. Kelly for supplying Figure 22, to Mr. J. T. Motelet for assistance in preparing Figure 20, and to Ms. R. J. Ash and Ms. D. J. Tucker for their assistance in preparing many of the figures and the manuscript.

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