从具有煤页岩密实砂岩层的煤层气储层中共同生产天然气的机遇与挑战:综述

Wei Liang, Jianguo Wang, Chun-bong. Leung, S. Goh, Shuxun Sang
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引用次数: 0

摘要

由于中厚气藏的枯竭,煤层气的开采已转向薄层气藏。煤层气、页岩气和致密砂岩气共生(称为多叠加气系)是提高煤层薄气藏天然气产量的一项低成本关键技术。作为一项处于发展初期的新兴工程开采技术,天然气共生在水力压裂、井底压力调节、井网布置和开采顺序等方面面临着各种工程挑战。目前,人们对多叠加天然气系统联合采气的机遇和挑战的认识还不够全面。在这种情况下,亟需回顾以往在天然气共生领域取得的成就,为进一步发展提供有价值的指导和建议。本综述首先讨论了煤层气储层的区域和空间分布特征以及可能的储层组合。然后,对不同储层的基本性质、工程挑战和层间干扰进行了比较分析和讨论。进一步探讨了当前的瓦斯共生模拟模型和未来潜在的研究方向。结果表明,在未来的天然气共生模拟模型中,应包括储层异质性、层间干扰和地质结构的耦合效应,以提高共生预测的准确性。需要仔细研究层间干扰对天然气共生影响的机制及其进一步量化。分形维度作为一种尺度,可在表征不同储层的气水运移中发挥重要作用。机器学习方法在准确、快速预测气体共生和层间干扰方面具有巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opportunities and challenges for gas coproduction from coal measure gas reservoirs with coal‐shale‐tight sandstone layers: A review
The extraction of coal measure gas has been shifted toward thin gas reservoirs due to the depletion of medium‐thick gas reservoirs. The coproduction of coalbed gas, shale gas, and tight sandstone gas (called a multisuperposed gas system) is a key low‐cost technology for the enhancement of natural gas production from thin gas reservoirs in coal measure. As an emerging engineering exploitation technology at its early stage of development, gas coproduction confronts various engineering challenges in hydraulic fracturing, bottom‐hole pressure regulation, well network arrangement, and extraction sequence. The current understanding of the opportunities and challenges in the gas coproduction from the multisuperposed gas system is not comprehensive enough. In this case, the previous achievements in the field of gas coproduction should be urgently reviewed to provide valuable guidance and recommendations for further development. This review first discusses the regional and spatial distribution characteristics and possible reservoir combinations of gas reservoirs in coal measure. Then, the basic properties of different reservoirs, engineering challenges, and interlayer interference are comparatively analyzed and discussed. The current simulation models for gas coproduction and potential future research directions are further explored. The results indicate that the coupling effects of reservoir heterogeneity, interwell interference, and geological structure for increasing coproduction prediction accuracy should be included in future simulation models for gas coproduction. Careful investigation is required to explore the mechanisms and their further quantifications on the effects of interlayer interference in gas coproduction. The fractal dimension as a scale can play an important role in the characterization of the gas and water transport in different reservoirs. The machine learning methods have tremendous potential to provide accurate and fast predictions for gas coproduction and interlayer interference.
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