Analysis of 3D formation pressure based on logging data

• Published in: Journal of petroleum exploration and production technology Vol. 7; no. 2; pp. 471 - 477
• Main Authors: Sheng, Ya-Nan, Guan, Zhi-Chuan, Wei, Kai
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2017; Springer Nature B.V
• Subjects: Coring; Data analysis; Data logging; Drilling; Drilling fluids; Earth and Environmental Science; Earth Sciences; Earthquake construction; Energy Systems; Geology; Hydraulics; Industrial and Production Engineering; Industrial Chemistry/Chemical Engineering; Logging; Mathematical models; Methods; Monitoring/Environmental Analysis; Offshore Engineering; Oil exploration; Original Paper - Production Engineering; Petroleum industry; Pressure; Pressure measurement; Seismic data; Studies; Three dimensional imaging; 3D formation pressure; 3D visualization software; Epitaxial transfer algorithm; Formation matrix
• ISSN: 2190-0558; 2190-0566
• DOI: 10.1007/s13202-016-0266-2

A method for constructing regional 3D formation pressure based on logging data was established in this paper. It aims to deal with the problem of constructing regional 3D formation pressure in the block which is short of the seismic data or has poor quality of seismic data. To begin with, logging data and core data of drilled wells were collected. Making full use of the fine continuity and accurate resolving capability of logging data, we calculated the formation pressure of drilled wells based on the Eaton law. In addition, based on the concept of digital strata, the concept of formation matrix was put forward. What is more, formation matrix of the aimed layer group was built by making use of the drilled well formation pressure based on the epitaxial transfer algorithm. Finally, we realized the description of the regional 3D formation pressure. To verify the reliability of the method, one drilled well formation pressure was derived from the 3D formation pressure. It was compared with the pressure interpreted by the logging data. The maximum error was less than 5 %. Finally, by using the computer visible language, the software of describing 3D formation pressure was developed. And it is conductive to drilling engineer to predict formation pressure which can provide the basis for the casing design and the selection of the drilling fluid density.