Full text loading...
-
A Quantitative Model Using Geophysics Logging Data to Predict Gas Production in Coalbed Methane Wells - A Case Study in Shizhuangnan Block, Northern China
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
Gas production in coalbed methane (CBM) wells is a variable controlled by many factors, which is difficult to be predicted. An additional complexity is added if only conventional logging data is provided. In this article, new methods to evaluate two indexes (coal texture index and water bearing index) are developed using caliper, spontaneous potential and resistivity curves. Then, five important factors which are highly related to gas production are put forward, covering storage condition and hydrogeological condition. Based on these five factors, a quantitative prediction model is established. Applying to a total of 97 CBM wells, results indicate this method is effective, with an accuracy of 79%. This method can be used as a helpful tool in CBM investment and development. It can also be used to evaluate the reservoir parameters for newly discovered reservoirs, including coal texture, initial water-in-place and gas production. With these, CBM wells can be better evaluated and production costs can be saved a lot.