Pore pressure evaluation from well logging and drilling exponent at amal field, Gulf of Suez area, Egypt

Author's Department

Petroleum & Energy Engineering Department

Document Type

Research Article

Publication Title

Life Science Journal

Publication Date

8-2-2013

Abstract

The evaluation of formation pressures is an integral part of the well planning and formation evaluation process. For example, in order to drill a well safely and economically, it is necessary to know the pore pressure and fracture pressure so that the mud density can be optimized to provide sufficient overbalance, while being low enough so that formation integrity is not compromised. In order to drill a well safely, economically, and according to the tracks set, it is obligatory to know the pore pressure and fracture pressure so that we can optimize mud density to provide sufficient overbalance, while being low enough by not exceeding the fracture pressure for the formation. According to the previous statements the evaluation of formation pressure is an important part of the well planning and formation evaluation process. In areas where exploration and production histories are established, offset(balance) data sets can be used to provide detailed profiles of expected pressures for those wells about to be drilled. Seismic data, log information (wireline, MWD, FEL and various pressure logs) and direct pressure measurements (DST, RFT and production testing) can all be used. In the present study I will focus on pore pressure evaluation from both drilling and well logging data using I.P software. It was found that there is a good coincidence between the pore pressure values from Drilling Exponent (Dxc) and those values which obtained from well logging where it ranges between 9.0ppg to 9.5 ppg. By using modern methods and industry accepted concepts, relationships between petroleum geology and drilling engineering can be interpreted to give accurate estimations of formation pressures at any point during the course of a well. In addition, mathematical models and algorithms can be used to predict formation fracture pressure following the first pressure integrity (Leak-Off) test in a competent (reliable) formation. This "real-time" information can then be used to update the initial well scenario.

First Page

2889

Last Page

2898

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