An Analytical Method for Timely Predicting of Coal Seam Pressure during Gas Production for Undersaturated Coalbed Methane Reservoirs

Author:

Jia Yanran12,Shi Juntai12,Zhang Longlong3,Li Wenbin4,He Yifan3,Li Yue5,Cao Jingtian12,Ji Changjiang6,Huang Hongxing7

Affiliation:

1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum Beijing, Beijing 102249, China

2. Coalbed Methane Research Center, China University of Petroleum, Beijing 102249, China

3. Tianjin Branch of China National Offshore Oil Corporation Ltd., Tianjin 300459, China

4. Research Institute of Oil Exploration and Development, Liaohe Oilfield of Petrochina, Panjin 124010, China

5. School of Carbon Neutrality Science and Engineering, Anhui University of Science and Technology, Hefei 231131, China

6. State Key Laboratory of Coal and CBM Co-Mining in Nancun Town, Jincheng 048012, China

7. China United Coalbed Methane National Engineering Research Center Co., Ltd., Beijing 100095, China

Abstract

Coal seam pressure is an important parameter for production performance evaluation and prediction of coalbed methane (CBM). CBM production from undersaturated CBM reservoirs can be divided into two stages according to critical desorption pressure. At present, few prediction models of coal seam pressure performance consider the comprehensive influence of critical desorption pressure, dissolved gas, matrix shrinkage, and stress sensitivity. For the purpose of accurately predicting coal seam pressure during gas production for an undersaturated coalbed methane reservoir, the material balance principle is used to establish the analytical method for predicting coal seam pressure, considering the comprehensive influence of the critical desorption pressure, dissolved gas, matrix shrinkage, and stress sensitivity. Then, the proposed method is verified against a numerical simulation case using a computer modelling group (CMG) and two actual coalbed methane wells. Finally, the sensitivities of influencing factors on the coal seam pressure are analyzed. The results show that good agreements were obtained between the calculated coal seam pressures using the proposed method and those from the CMG-GEM simulation case and actual CBM wells, with the relative errors all being less than 1%. When ignoring the influence of critical desorption pressure and mistaking pd for pi as well as ignoring Cs, the relative error can reach as high as 31.3%. The main factors affecting the coal seam pressure are the critical desorption pressure and free gas saturation. The proposed method is simple to use, and without shutting-in the well, it can provide an important basis for production performance evaluation and development strategies.

Funder

State Key Program of the National Natural Science Foundation of China

Science and Technology Major Projects of Shanxi Province, China

Science Foundation of China University of Petroleum, Beijing

Publisher

MDPI AG

Reference54 articles.

1. Thoughts and suggestions on promoting high quality development of China’s CBM business under the goal of “double carbon”;Xu;China Pet. Explor.,2021

2. Stress and temperature sensitivity of coal permeability in the Eastern Ordos Basin;Zeng;Pet. Sci. Bull.,2020

3. A new coal seam permeability model considering the influence of pulverized coal blockage and its application;Shi;Nat. Gas Ind.,2020

4. Analysis of geological conditions for coalbed methane co-production based on production characteristics in early stage of drainage;Qin;J. China Coal Soc.,2020

5. Comparison of computation methods for CBM production performance;Mora;J. Can. Pet. Technol.,2009

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3