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8/10/2019 Integration of Advanced Production and Image Logging in a High GOR Horizontal Well With Assessment of Remedi
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SPE 93473
INTEGRATION OF ADVANCED PRODUCTION AND IMAGE LOGGING IN A HIGHGOR HORIZONTAL WELL WITH ASSESSMENT OF REMEDIAL ACTIONSA.A. Al-Fawwaz, H.K. Mubarak, Saudi Aramco and M. Zeybek, Schlumberger Oilfield Services
Copyright 2005, Society of Petroleum Engineers Inc.
This paper was prepared for presentation at the 14th
SPE Middle East Oil & Gas Show andConference held in Bahrain International Exhibition Centre, Bahrain, 1215 March 2005.
This paper was selected for presentation by an SPE Program Committee following review ofinformation contained in an abstract submitted by the author(s). Contents of the paper, aspresented, have not been reviewed by the Society of Petroleum Engineers and are subject tocorrection by the author(s). The material, as presented, does not necessarily reflect anyposition of the Society of Petroleum Engineers, its officers, or members. Papers presented atSPE meetings are subject to publication review by Editorial Committees of the Society ofPetroleum Engineers. Electronic reproduction, distribution, or storage of any part of this paper
for commercial purposes without the written consent of the Society of Petroleum Engineers isprohibited. Permission to reproduce in print is restricted to an abstract of not more than 300words; illustrations may not be copied. The abstract must contain conspicuousacknowledgment of where and by whom the paper was presented. Write Librarian, SPE, P.O.Box 833836, Richardson, TX 75083-3836, U.S.A., fax 01-972-952-9435.
Abst ractProduction logging in high GOR horizontal wells still exhibits
difficulties due to multi-phase, complicated flow regimes in
undulating long well bores. Accurate diagnosis of gas entriesis important for the understanding of the well performance,
reservoir dynamics, characterization and if possible, for shut-
off remedial action.
In this paper, a case study is presented in a horizontal well
with high GOR where oil production decreased significantlydue to gas entries. The example horizontal well is located in
Saudi Arabian Lower Cretaceous carbonate reservoir that has
gas cap and relatively weak aquifer. Although the horizontal
well is placed away from the gas cap, increase in GOR wasobserved after two years of production time. Since GOR
increased to over 5000 SCF/STB by then, an integrated
production logging tool was utilized to detect gas entries anddetermine flow profile.
Results showed that the gas entries were detected from the
high sides of the well and the majority of the gas was entering
from the heel section over 500 ft of interval. Gas hold up inthe well bore was determined from gas sensor tool in real time
and pulsed neutron tool, providing high confidence. All thesensors exhibited coherent measurements, yielding confident
and conclusive results for the gas entries. Image logs andpermeability determinations identified the presence of
different facies with high permeability over the interrelated
entry intervals, supporting the calculated flow profile. Theresults, observed difficulties and recommendations are
discussed for improvements. A single well fine grid numerical
reservoir simulation model was also developed to assess
impact of remedial action plans.
IntroductionIt is well known that increased gas production can
significantly reduce well performance and result in decreased
oil production. Generally, an increase in GOR could be due to
a drop in reservoir pressure or a gas breakthrough. Thedetection of gas entry intervals in the case of early increases
in GOR, provides useful information for understanding
reservoir dynamics and optimizing well placement. Formaximum productivity and choosing well trajectories, the
evaluation of well performance is crucial. Production logging
provides not only the detection of unwanted fluids but alsomeasures effective well length that is needed in well testing
evaluation for complete well performance analysis. In
addition, the length and the number of entries provide
information about the characteristics of the intervals
Eventually, the integration with reservoir and geological datayields more accurate characterization.
Conventional production logging tools developed for
vertical wells often do not perform well in horizontal wellsbecause multiphase flow in horizontal sections is highly
segregated1-4
. In addition, logging conditions in barefoo
horizontal wells can be quite harsh. The integrated production
logging tool string was developed in 1995 and severa
examples of oil/water flow in horizontal wells were
published3,5
. Although three phase flow is addressed, there are
only a few examples6,7
of gas/oil or three phase flow. The firs
example7discussed the challenges of the detection of gas entry
intervals and the results could not pinpoint the entry intervals
due to shortage of intervention and the amount of hold up in
the wellbore.
In this paper, a case study of high a GOR horizontal well is
presented. Since the well started producing a high GOR in a
less than a year, the detection of gas entry intervals was the
primary objective. An integrated production logging too
string including new Gas Hold Up Optical Sensor tool wasrun. The results showed the detection of gas and oil entry
intervals with confidence achieving the objectives. The
integration with static data of open hole and image logs
showed coherent results by identifying high and low
permeability facies where the gas entries were observed from
high permeability facie crossing the wellbore. A fine grid
numerical simulation model based on a commercial simulator
was developed to assess remedial action plans.
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2 A.A. AL-FAWWAZ, H.K. MUBARAK, M. ZEYBEK PE
Gas-Liquid Flow and Integrated Production LoggingTool String
It has been known that generally stratified flow regimes2exist
in horizontal wells, flowing oil and water. It is important that
flow regimes, existing during the flow of fluids be understood
for interpretation and measurement accuracy.
Fig. 1 shows the flow regimes in horizontal wells in thepresence of gas-liquid flow. Mostly stratified or wavy
stratified flow regimes are observed when the deviation is 90
degrees or more. However, the stratified flow domain islimited when the deviation is less than 90 degrees. Plug or
slug flow becomes dominant in this deviation, indicating the
complexity of the flow. Considering the small changes in well
deviation and fluctuations in the well performance as well, themeasurements of gas hold up in real time during each pass
would improve the results
An integrated production logging tool string developed for
horizontal wells was given in detail by Lenn et al3. The tool
string consists of Combinable Production Logging Tool,
providing pressure, temperature, in addition to spinners, phase
velocity of oil using a chemical marker, water velocity using
water flow log, hold ups of oil, water and using electrical
probes, three phase hold up using pulsed neutron tool and
caliper measurements to obtain quantitative determination of
flow profiles. To note that stationary phase velocity
measurement of oil is a direct measurement, requiring no
calibration or correlation and is benchmarked in a flowloop4.
Several examples of integrated production logging in
horizontal wells have been published3,5.
In this study, a new shorter production logging tool,providing x-y caliper, spinner and flow imaging in the same
module was utilized along with the mentioned sensors as
shown in Fig 2.
As mentioned above, although gas hold up is measuredwith pulse a neutron tool, it is a one pass measurement and
requires further processing for quantitative values. In the case
of liquid-gas flow regimes, having quantitative gas hold updata, in real time, in each pass provides useful information and
confidence in interpretation. Hence, including a gas hold up
optical sensor tool in the string is considered to be beneficial
in high GOR wells.
Gas Hold up Optical Sensor Tool was developed usingnew optical sensing technology to enable direct detection of
gas in producing wells8. In gas-liquid mixtures, optical signals
reflected by the optical probes vary from liquid to gas values
in a binary manner. This allows the determination of gas hold
up and gas bubble count. Gas detection is achieved using anoptical sensor sensitive to the optical index of the fluid that is
low for liquid and high for gas. Relative bearing and caliper
measurements are included to determine exact positions of the
probes at any time. The details of the tool specifications are
given by Theron et al.8.
Field ExampleThe field example is from a Middle East Lower Cretaceous
carbonate reservoir. The producing intervals are
predominantly limestone, with intervening tight dolomite
streaks. A gas cap overlies the reservoir and weak pressure
support is provided by an aquifer. The reservoir thickness isaround 250 ft. The porosity of the producing zones is roughly
% 30 and the average permeability is around 13 md. The
hydrocarbon is a light oil with an API gravity of 42. Because
of relatively low permeability and the presence of a large gas
cap, field development is planned based on horizontal wells toincrease well productivity and drainage area and minimize gas
cusping and water coning. Based on simulations andexperience, horizontal wells are placed in the oil column with
optimum distance from GOC and WOC to avoid early
breakthrough of gas or water. However, early increases in
GOR or water are observed in certain wells due to
heterogeneities and fractures intersecting the wellbore. Theidentification of unwanted fluid entry intervals has importance
for the understanding of reservoir characterization and
subsequent remedial actions.
In this paper, a high GOR but dry horizontal well with2800 ft horizontal length was considered for the identification
of gas entry intervals.Well History: The subject well was drilled and put in
production in 1998. Although a majority of horizontal well
are completed as barefoot in this field, this well was
completed with 4 liner, perforated over almost the whole
horizontal section. The well was placed 110 ft below the GOC
to optimize production and minimize gas cusping. The welproduced dry oil with solution GOR initially; however, i
gradually showed an increase of GOR after two years o
production. Fig. 3 shows theproduction history of oil ratesand GOR. Furthermore, it showed that the well was producing
high GOR based on flowing well head pressures. Generally, to
keep the ratio of oil to gas rate high, choke size was variedThis type of exercise fine tunes choke size in favor of oil rate
Since the well was producing quite high GOR, it wasnecessary to find out the gas entry intervals. The well
trajectory along with open hole log results and image logs are
shown in Fig. 4. As noticed, the well trajectory goes up at theend. To avoid any gas cusping through this section, the lower
section of the well was not perforated.
Well Logging: Since the well was producing high GOR, anintegrated production logging tool string with an optica
sensor tool was run. This configuration allowed both real time
gas and water hold up determination. Pulsed neutron three
phase hold up was recorded as an independent measurement toverify and increase the confidence in oil, water and gas hold
ups. The trajectory and the production history suggested tha
only low sides of the wellbore would have some stagnanwater. To obtain flow rates of oil and gas, hold up and velocity
data are required. As planned, flowing passes were conductedfirst, followed by shut-in passes after 4.5 hours of shut-in.
As shown in Fig. 2, the tool string with gas sensor too
was run using 2 coil tubing. Prior to the job, tool accessibilityin the wellbore was assessed via simulation and a dummy run
During the job, no difficulties were encountered in reaching
TD. The distributions of fluids and hold up were establishedduring the passes. Real time optical gas sensor hold up results
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SPE IMPROVEMENTS IN THE DETECTION OF GAS ENTRY INTERVALS WITH INTEGRATED LOGGING IN HIGH GOR HORIZONTAL WELL 3
were obtained in the second run due to difficulties, observing
lack of response in horizontal section in the first run. Electrical
flow imaging sensors identified the presence of a smallamount of stationary water in the deepest low side of the well.
In addition to optical and electrical probes, pulsed neutron
borehole sigma and inelastic far/near ratio provided hold up
information in real time. Bore hole sigma supported the
presence of stationary water with the high value of sigmareading. Although optical and electrical probe hold up outputs
are direct and quantitative, bore hole sigma and inelastic ratiocan be used based on individual phase values. Because the
probe locations are known, flow image output yields the flow
distribution along the wellbore. After establishing the fluid
flow distribution and hold up data, all the sensors were utilized
appropriately. However, pulsed neutron three phase hold upoutput provided quantitative three phase hold up data in
computing center. Both in-line (smaller) and full bore
spinners were also included in the tool string. Since the flow
regime is often segregated in horizontal wells, the spinner canbe used when it is completely immersed in one phase. After
obtaining quantitative hold up data, using well bore size andspinner size, whether the spinner is immersed in one or two
phases can be determined. For example, minimum 70 % of
hold up for lighter fluid would allow an in-line smaller spinner
to be completely immersed in a lighter phase in a 4 ID
completion. In other words, if the hold up for heavier phase is
more than % 30, then the spinner would be immersed in twophases. In that case, the spinner velocity corresponds to
neither phase, assuming flow is segregated, hence phases can
have quite different velocities. It requires % 88 hold up forthe fullbore spinner to be immersed totally in the lighter
phase.
As mentioned in the previous section, oil velocitymeasurements were obtained using a phase velocity log where
oil miscible marker is ejected and detected by pulse neutrontool. In this job, high quality PVL measurements were
obtained to get an oil profile.
In high GOR wells, temperature data could be quite usefulto increase confidence for the identification of gas entry
intervals, especially in the case of the first entry and
significant amount of entry from one interval. Fig. 5shows theflowing and shut-in temperature measurements supporting the
entry intervals with the drop in temperature.
Results and Discuss ionAfter running the first flowing pass, it was identified that gas
was occupying almost % 80 (hold up) of the well bore in the
first 700 feet of the horizontal section. Then gradually, gashold up decreased and correlated with the deviation (Fig. 6).
Gas hold up increased as the well deviation became greaterthan 90 degrees. During shut-in, the fluids segregated as
expected. Using the end points of inelastic ratio, hold up
distribution was obtained as shown in Fig. 6. Bore hole sigmaalso correlated well with gas and oil presence. As expected,
gas was trapped in the high sides of the wellbore.
As mentioned above, spinner data can be used todetermine the velocity of gas wherever the gas hold up is % 70
or greater. The gas flow profile is given in Fig. 6, indicating
major gasentry (almost 80% of the total gas entry) occurrence
interval along the high side of the well, close to the heelOpen hole and image logs suggest that this interval is a
different facie which was also confirmed by log derived
permeability. A second entry was identified from the second
high side of the well where the well goes up again and crosses
into the high permeability facies. Minor gas entry was alsodetected from the toe section. Although different facies were
observed in image logs, the quantitative impact on flow profilecould not be predicted. In fact, the results of the integrated
production logs are now providing more confident reservoi
characterization information. Gas entries from higher
permeability facie indicated that gas is cusping down from
these intervals as schematically shown in Fig. 7.Generally, very small temperature variations are expected
and seen in horizontal wells. However, in this well, the first
entry and subsequently significant amount of gas entries
caused differentiable temperature cooling as shown in Fig. 5supporting the above findings.
It should be noted that oil hold up distribution did noallow to the determination of the oil velocity with spinner due
to low hold up to oil. Hence, the oil velocity could be obtained
only with a phase velocity log. Fig 8. shows examples of a
phase velocity measuring 120 ft/min translating to around 900
bbl/d using oil hold up. The oil flow profile is shown in Fig. 6
indicating almost half of the oil production is coming from thehigh permeability interval in the upper section of the well.
RecommendationsProduction logging in high GOR horizontal wells has been
challenging because of the difficulty in obtaining quantitative
results. Integrated production logging provides quantitativeanswers; however, further improvements would allow more
quantitative results under different scenarios. Although thehold up data is obtained confidently with different sensors, ga
velocity measurements in different scenarios (with hold up
variation) are challenging to obtain quantitatively. Two opticagas sensor tools provide more accurate hold up data with more
coverage of the wellbore. In addition, direct measurement of
gas velocity via gas slugs can be obtained. As indicated in theGas-Liquid flow section, slug or plug flow is obtained when
the deviation is less than 90 degrees. The measurement i
based on cross correlation between two gas hold up optica
sensors when it is applicable for further improvementsSpinner data is to be utilized whenever the spinner i
immersed. In the case of high flow rates in small completions
spinners have limitations. In those cases, flow rates should bereduced to avoid exceeding the limitations. In fact, in this job
the well had to be choked down after observing highvelocities.
Numerical Simulations for Shut Off ConsiderationsIn order to assess the impact of remedial action plans on well
performance by shutting off the gas entry intervals, a fine
gridded single well numerical simulation model was set upbased on a commercial reservoir simulator. A single wel
8/10/2019 Integration of Advanced Production and Image Logging in a High GOR Horizontal Well With Assessment of Remedi
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4 A.A. AL-FAWWAZ, H.K. MUBARAK, M. ZEYBEK PE
model using pebi gridding was used for efficient grid size
optimization as shown in Fig. 9. A total of 35000 grid cells
were used in the segmented simulation area with the actualwell trajectory. Openhole and image logs suggested that the
well was crossing two zones along the trajectory. The model
included two permeability zones as shown in Fig. 9. To
benchmark the model, production log entries, pressure surveys
and observed GOR data were reasonably honored for thehistory. Fig. 10 shows thecomparison of measured GOR (red
dots) and simulation GOR (purple curve). Fig. 11 shows thegas saturation distribution from a numerical simulation
indicating gas entry intervals (flow from intervals) that agrees
well with integrated production logging results. Results
showed that three pressure surveys after 2, 18 and 52 months
were within less than 5 psi of the measured ones.Since the gas entries were observed from the high sides
(high permeability) of the wellbore, shut off is considered for
those intervals. Because the well is shut-in for long periods of
time, the complete history was included in the simulations. Ithas been observed that gas did not recede to original GOC
over more than a one and a half year period.Two scenarios are initially considered in the simulations.
The first scenario considers the shutting off all the high side
(gas entry intervals). In other words, the well is allowed to
produce only from the low permeability intervals (around %
35 of the completion open). Simulations, conditioning to the
optimized bottom hole pressures (reduced oil rate) showedthat GOR can be kept to a low value (very close to solution
GOR) for a long period of time, however, no additional oil
production can be obtained compared to existing oil rate.In the second scenario, shut off is considered for the long
entry interval in the heel section due to practical
considerations. In this case, % 65 of the completions are open.The results showed that GOR gradually increases to 2000
scf/stb over six years under optimized pressure with a similaroil rate to the first scenario. Fig. 12 shows numerical
simulation of gas saturation after shut off.
Alternatively, a sidetrack option (30 ft deeper) wasevaluated as shown in Fig. 13. Fig. 14shows the production
history with the existing well and the production prediction
with the sidetrack well. Simulation results indicate that thesidetrack well production oil rate of 1250-2000 stb/d with
solution GOR for the next six years.
ConclusionsIn this paper, a case study is presented in a horizontal well
with high GOR where oil production decreased significantlydue to gas entries.
It has been shown that integrated production logging canbe used to diagnose gas entries in high GOR horizontal wells.
The integration of diagnostic flow profiles, gas entryintervals and well evaluation can yield important information
on reservoir characterization and dynamics. In fact, the case
history of this well revealed that the impact of the gasbreakthrough could not be confidently predicted based on
static data alone. The identification of entry intervals and
relation to certain facies can be helpful for future wel
placement practices.Numerical simulations supported the entry intervals. Shu
off considerations of the high side of the wellbore sections
suggested that GOR can be minimized; however no significan
increase in oil production can be obtained. As an alternative, a
sidetrack well option was also considered. In fact, productionpredictions yielded increased oil production with no free gas.
Acknowledgments
We thank Saudi Arabian Oil Company (Saudi Aramco) forpermission to publish this paper. We also like to thank to Mr
Salam P. Salamy for his discussions and inputs.
Nomenclature
GOR: Gas Oil Ratio, scf/stb
PVL: Phase Velocity Log
WOC: Water Oil Contact
References1. Kuchuk, F.J., Lenn, C., Hook, P., and Fjerstad, P.
Performance Evaluation of Horizontal Wells, SPE39749 presented at the SPE Asia Pacific Conference on
Integrated Modeling for Asset Management, Kuala
Lumpur, Malaysia, 2324 March 1998.2. Lenn, C., Kuchuk, F.J., Rounce, J., and Hook, P.
Horizontal Well Performance Evaluation and Fluid Entry
Mechanisms, SPE 49089 presented at the SPE Annual
Technical Conference and Exhibition, New Orleans, LA
2730 Sept. 1998.3. Lenn C., Bamforth S. and Jariwala H.: Flow Diagnosis
in an Extended Reach Well at the BP Wytch FarmOilfield Using a New Toolstring CombinationIncorporating Novel Production Logging Technology,
SPE 36580 presented at the 1996 SPE Annual Technica
Conference and Exhibition, Denver, Colorado, 6-9 Oct.4. Roscoe, B. and Lenn, C.: Oil and Water Flow Rate
Logging in Horizontal Wells Using Chemical Markers
and a Pulsed-Neutron Tool, SPE 36230 presented at the
7th Abu Dhabi International Petroleum Exhibition and
Conference, Abu Dhabi, U.A.E., 13-16 October, 1996.
5. Middle East Well Evaluation Review, Schlumberger p.2229 v19, 1997.
6. Frankenburg, A., Bartel, P., Roberts, G. and Hupp, DGas Shutoff Evaluation and Implementation, NorthSlope Alaska, SPE 62892 presented at the SPE Annua
Technical Conference and Exhibition, Dallas, TX, 14
Oct. 2000.7. Al-Ali, H. A., Salamy S.P. and Haq, S.A.: The
Challenges of Detecting Gas Entries in Horizontal Wel
by Using Integrated Production Logging Tool, Case
Study, SPE 65528 presented at 12th Middle East Oi
Show, Bahrain, 17-20 March, 2001.
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SPE IMPROVEMENTS IN THE DETECTION OF GAS ENTRY INTERVALS WITH INTEGRATED LOGGING IN HIGH GOR HORIZONTAL WELL 5
8. Theron, B., Vuhoang, D., Rezgui, F., Gatala, G.,McKeon, D. and Silipino, L.: Improved Determination
of Gas Hold up Using Optical Fiber Sensors, SPLWA2000.
8. Theron, B., Vuhoang, D., Rezgui, F., Gatala, G.,McKeon, D. and Silipino, L.: Improved Determination
of Gas Hold up Using Optical Fiber Sensors, SPLWA2000.
Figure 1 - Gas-Liquid Flow regimes
Figure 2 - Shorter Tool String including opti cal gas sensor
Figure 3 - Production histor y (GOR shown with r ed dots)
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Figure 4 - Well t rajectory wi th open ho le and FMI dataFigure 4 - Well t rajectory wi th open ho le and FMI data
Figure 5 - Temperature during f lowing shut-in
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SPE IMPROVEMENTS IN THE DETECTION OF GAS ENTRY INTERVALS WITH INTEGRATED LOGGING IN HIGH GOR HORIZONTAL WELL 7
Permeability
Figure 6 - Integrated Advanced Producti on Loggi ng results.Figure 6 - Integrated Advanced Producti on Loggi ng results.
Figure 7 - Schematic drawings of the Flagship results Figure 8 - Oil velocity measurement using phase velocity.
Ejection Detection
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8 A.A. AL-FAWWAZ, H.K. MUBARAK, M. ZEYBEK PE
Figure 9 - Pebi Gridding and well cross section in numericalmodel
Figure 10. History match of GOR
Figure 11 - Numerical simulation: gas breaking through
Figure 12 - Numerical simulation: gas saturation after shut of f theheel section with major gas entry
Figure 13 - Alternative option of deeper side track well
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SPE IMPROVEMENTS IN THE DETECTION OF GAS ENTRY INTERVALS WITH INTEGRATED LOGGING IN HIGH GOR HORIZONTAL WELL 9
Figure 14 - Production prediction with sidetrack well