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

Joint Authors

Pan, Baozhi
Zhang, Lihua
Lei, Jian
Guo, Yuhang
Fan, YuFei

Source

Geofluids

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-22

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

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.

American Psychological Association (APA)

Lei, Jian& Pan, Baozhi& Guo, Yuhang& Fan, YuFei& Zhang, Lihua. 2020. Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations. Geofluids،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1159663

Modern Language Association (MLA)

Lei, Jian…[et al.]. Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations. Geofluids No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1159663

American Medical Association (AMA)

Lei, Jian& Pan, Baozhi& Guo, Yuhang& Fan, YuFei& Zhang, Lihua. Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1159663

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1159663