Real-Time Pore Pressure Detection: Indicators and Improved Methods

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 method...

Full description

Bibliographic Details
Main Authors: Jincai Zhang, Shangxian Yin
Format: Article
Language:English
Published: Hindawi-Wiley 2017-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2017/3179617
id doaj-ac3cffd0daf94bb08b35d86bb2045be7
record_format Article
spelling doaj-ac3cffd0daf94bb08b35d86bb2045be72020-11-25T00:27:26ZengHindawi-WileyGeofluids1468-81151468-81232017-01-01201710.1155/2017/31796173179617Real-Time Pore Pressure Detection: Indicators and Improved MethodsJincai Zhang0Shangxian Yin1Geomech Energy, Houston, TX, USANorth China Institute of Science and Technology, Yanjiao, Beijing, ChinaHigh 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.http://dx.doi.org/10.1155/2017/3179617
collection DOAJ
language English
format Article
sources DOAJ
author Jincai Zhang
Shangxian Yin
spellingShingle Jincai Zhang
Shangxian Yin
Real-Time Pore Pressure Detection: Indicators and Improved Methods
Geofluids
author_facet Jincai Zhang
Shangxian Yin
author_sort Jincai Zhang
title Real-Time Pore Pressure Detection: Indicators and Improved Methods
title_short Real-Time Pore Pressure Detection: Indicators and Improved Methods
title_full Real-Time Pore Pressure Detection: Indicators and Improved Methods
title_fullStr Real-Time Pore Pressure Detection: Indicators and Improved Methods
title_full_unstemmed Real-Time Pore Pressure Detection: Indicators and Improved Methods
title_sort real-time pore pressure detection: indicators and improved methods
publisher Hindawi-Wiley
series Geofluids
issn 1468-8115
1468-8123
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/3179617
work_keys_str_mv AT jincaizhang realtimeporepressuredetectionindicatorsandimprovedmethods
AT shangxianyin realtimeporepressuredetectionindicatorsandimprovedmethods
_version_ 1725339800197660672