Research and Application of High-Production Area Seismic Prediction Technology for High-Rank Coalbed Methane Reservoir


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

In order to accurately predict the high-production areas in CBM reservoirs, we identified the main geological factors controlling the CHM production. Based on the statistical analysis data of the geological and production area and seismic prediction methods, the comparative influence of the five main geological factors was studied. The validity of the seismic prediction method was further evaluated. The results show that the production of a GEM well is influenced by the reservoir structure, gas content, permeability, and coal-body structure. The above four geological controlling factors can be accurately evaluated by the seismic attributes. The proposed high-production area seismic prediction method can be applied for accurate localization of the high-production areas. When the high-production evaluation index is lower than 0.2, the daily gas production exceeds 1000 The method can provide an effective instrument for evaluating formation productivity.

About the authors

Liu Turnip

School of Electrical Information Engineering, Northeast Petroleum University

Email: sunyonghe2219@outlook.com
China, Daqing, Heilongjiang, 163318

Li Xuesone

Exploration and Development Research Institute of Daqing Oilfield Co Ltd.

Email: sunyonghe2219@outlook.com
China, Daqing, Heilongjiang, 163712

Sun Yonghe

School of Earth Science, Northeast Petroleum University

Author for correspondence.
Email: sunyonghe2219@outlook.com
China, Daqing, Heilongjiang, 163318

Li Minghui

Daqing Yushulin Oilfield Development Co. Ltd., Institute of Geology

Email: sunyonghe2219@outlook.com
China, Daqing, Heilongjiang, 163453

Du Jingguos

College of Mining Engineering, North China University of Science and Technology

Email: sunyonghe2219@outlook.com
China, Tangshan, Hebei, 063210


Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies