Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations

Karstic-fault oil pools are a new type of carbonate reservoirs which is consisted of groups of large caves with high oil storage potential. In this study’s examinations of high-yielding wells, it was found that many valuable reservoirs relate to the drilling wells through fractures or karst caves, a...

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Main Authors: Jian Lei, Baozhi Pan, Yuhang Guo, YuFei Fan, Lihua Zhang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2020/5341378
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author Jian Lei
Baozhi Pan
Yuhang Guo
YuFei Fan
Lihua Zhang
author_facet Jian Lei
Baozhi Pan
Yuhang Guo
YuFei Fan
Lihua Zhang
author_sort Jian Lei
collection DOAJ
description Karstic-fault oil pools are a new type of carbonate reservoirs which is consisted of groups of large caves with high oil storage potential. In this study’s examinations of high-yielding wells, it was found that many valuable reservoirs relate to the drilling wells through fractures or karst caves, and it was not possible to determine the reservoir depths through the method of seismic prospecting precisely due to its poor vertical resolution. The conventional logs cannot be run in the case of no mud circulation due to leaking to the caves. If the depths of the reservoirs cannot be determined, then it becomes difficult to achieve long term and stable development of the oil resources in the reservoirs. The heat transfer between wellbore and formation during oil production processes was simulated by CFD. The Horner method was used for estimating the flow temperature during the stable production stage using the temperature curve measured after shut-in. This research presented a scheme which could be used to effectively determine the depths of karstic-fault reservoirs by static and flow temperature logs. The proposed method was applied to a well located in the Tahe Oilfield of the Tarim Basin. The application of the method will aid in deepening our understanding of the distribution of fault-karst reservoirs, as well as in supporting the future stable and sustainable high-yielding oilfield production of similar reservoirs.
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institution Kabale University
issn 1468-8115
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language English
publishDate 2020-01-01
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series Geofluids
spelling doaj-art-e16d6cb1444c4cd3b4ed4c2c6559fadb2025-02-03T01:04:22ZengWileyGeofluids1468-81151468-81232020-01-01202010.1155/2020/53413785341378Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical SimulationsJian Lei0Baozhi Pan1Yuhang Guo2YuFei Fan3Lihua Zhang4College of GeoExploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of GeoExploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of GeoExploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of GeoExploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of GeoExploration Science and Technology, Jilin University, Changchun 130026, ChinaKarstic-fault oil pools are a new type of carbonate reservoirs which is consisted of groups of large caves with high oil storage potential. In this study’s examinations of high-yielding wells, it was found that many valuable reservoirs relate to the drilling wells through fractures or karst caves, and it was not possible to determine the reservoir depths through the method of seismic prospecting precisely due to its poor vertical resolution. The conventional logs cannot be run in the case of no mud circulation due to leaking to the caves. If the depths of the reservoirs cannot be determined, then it becomes difficult to achieve long term and stable development of the oil resources in the reservoirs. The heat transfer between wellbore and formation during oil production processes was simulated by CFD. The Horner method was used for estimating the flow temperature during the stable production stage using the temperature curve measured after shut-in. This research presented a scheme which could be used to effectively determine the depths of karstic-fault reservoirs by static and flow temperature logs. The proposed method was applied to a well located in the Tahe Oilfield of the Tarim Basin. The application of the method will aid in deepening our understanding of the distribution of fault-karst reservoirs, as well as in supporting the future stable and sustainable high-yielding oilfield production of similar reservoirs.http://dx.doi.org/10.1155/2020/5341378
spellingShingle Jian Lei
Baozhi Pan
Yuhang Guo
YuFei Fan
Lihua Zhang
Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations
Geofluids
title Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations
title_full Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations
title_fullStr Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations
title_full_unstemmed Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations
title_short Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations
title_sort depth prediction of karstic fault reservoirs based on wellbore temperature measurements and numerical simulations
url http://dx.doi.org/10.1155/2020/5341378
work_keys_str_mv AT jianlei depthpredictionofkarsticfaultreservoirsbasedonwellboretemperaturemeasurementsandnumericalsimulations
AT baozhipan depthpredictionofkarsticfaultreservoirsbasedonwellboretemperaturemeasurementsandnumericalsimulations
AT yuhangguo depthpredictionofkarsticfaultreservoirsbasedonwellboretemperaturemeasurementsandnumericalsimulations
AT yufeifan depthpredictionofkarsticfaultreservoirsbasedonwellboretemperaturemeasurementsandnumericalsimulations
AT lihuazhang depthpredictionofkarsticfaultreservoirsbasedonwellboretemperaturemeasurementsandnumericalsimulations