Real-Time Pore Pressure Detection: Indicators and Improved Methods

Joint Authors

Zhang, Jincai
Yin, Shangxian

Source

Geofluids

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-09-27

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Physics

Abstract EN

High uncertainties may exist in the predrill pore pressure prediction in new prospects and deepwater subsalt wells; therefore, real-time pore pressure detection is highly needed to reduce drilling risks.

The methods for pore pressure detection (the resistivity, sonic, and corrected d-exponent methods) are improved using the depth-dependent normal compaction equations to adapt to the requirements of the real-time monitoring.

A new method is proposed to calculate pore pressure from the connection gas or elevated background gas, which can be used for real-time pore pressure detection.

The pore pressure detection using the logging-while-drilling, measurement-while-drilling, and mud logging data is also implemented and evaluated.

Abnormal pore pressure indicators from the well logs, mud logs, and wellbore instability events are identified and analyzed to interpret abnormal pore pressures for guiding real-time drilling decisions.

The principles for identifying abnormal pressure indicators are proposed to improve real-time pore pressure monitoring.

American Psychological Association (APA)

Zhang, Jincai& Yin, Shangxian. 2017. Real-Time Pore Pressure Detection: Indicators and Improved Methods. Geofluids،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1155450

Modern Language Association (MLA)

Zhang, Jincai& Yin, Shangxian. Real-Time Pore Pressure Detection: Indicators and Improved Methods. Geofluids No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1155450

American Medical Association (AMA)

Zhang, Jincai& Yin, Shangxian. Real-Time Pore Pressure Detection: Indicators and Improved Methods. Geofluids. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1155450

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1155450