Geology Research Institute of Great Wall Drilling Company, PetroChina, Panjin 124010, China
| Abstract: | Due to the unique nano pores and Nadasi permeability of shale gas wells, high strength and large displacement fracture matrix fracturing with long sections and clusters, frequent pressure channeling interference, variable pressure and production mode and other factors, it is difficult to accurately predict its single well EUR. According to the three different periods of post fracturing, testing and decline of shale gas wells, the three-level calculation workflow of single well EUR is established by constructing estimation model and optimizing prediction method. In the post fracturing stage, the multiple regression relationship is used for preliminary estimation (The average calculation error is 5.5%), in the test stage, the linear relationship of test production is used for prediction (The correlation coefficient is 0.88), and in the decline stage, the calculation accuracy is mainly improved by analytical simulation method. Based on the dynamic and static data of Weiyuan block, EUR prediction is made for 140 shale gas wells. The results show that the average EUR of single well is 81 million cubic meter, 122 million cubic meter for class I well, 78 million cubic meter for class II well and 46 million cubic meter for class III well. This workflow and method can be used as a guide and reference for single well EUR calculation of other shale gas or unconventional gas. |
| Keywords: | Shale Gas; EUR; Operation Workflow; Optimization; Analytic Method |
| DOI: | 10.57237/j.jest.2023.03.001 |
| 1. | 国家科技重大专项“页岩气气藏工程及采气工艺技术” (2017ZX05037-001) |
| [1] | 陈更生, 吴建发, 刘勇, 等. 川南地区百亿立方米页岩气产能建设地质工程一体化关键技术 [J]. 天然气工业, 2021, 41 (1): 72-81. |
| [2] | 刘乃震, 王国勇. 四川盆地威远区块页岩气甜点厘定与精准导向钻井 [J]. 石油勘探与开发, 2016, 43 (6): 978-985. |
| [3] | 赵国英. 水平井“工厂化”部署与设计优化—以四川威远页岩气藏为例 [J]. 天然气勘探与开发, 2018, 41 (1): 51-56. |
| [4] | 白森. 页岩气储集特征及成藏意义分析 [J]. 石化技术, 2019, (3): 84-84. |
| [5] | 张楠. 苏53区块东南区压裂水平井井网优化设计 [J]. 非常规油气, 2021, 8 (1): 77-83. |
| [6] | 郭建林, 贾爱林, 贾成业, 等. 页岩气水平井生产规律 [J]. 天然气工业, 2019, 39 (10): 53-58. |
| [7] | 段国彬, 赵志红, 陈朝刚, 等. 页岩吸水诱发微裂缝模型及影响因素分析 [J]. 天然气与石油, 2020, 38 (6): 65-72. |
| [8] | 穆英, 胡志明, 端祥刚, 等. 页岩吸水对储层的作用机理研究 [J]. 天然气与石油, 2020, 38 (6): 73-79. |
| [9] | 郭伟. 四川威远区块页岩气水平井产量差异分析 [J]. 科学技术与工程, 2018, 18 (1): 228-233. |
| [10] | 范青云. 页岩储层润湿性及孔隙结构对吸附特征的影响 [J]. 重庆科技学院学报(自然科学版), 2016, 18 (5): 10-13. |
| [11] | 王庆蓉, 陈家晓, 向建华, 等. 页岩气井积液诊断及排水采气工艺技术探讨 [J]. 天然气与石油, 2020, 38 (5): 83-87. |
| [12] | Duong A N. An unconventional rate decline approach for tight and fracture-dominated gas wells [C]. SPE paper 137748 presented at Canadian Unconventional Resources and International Petroleum Conference, Calgary, Alberta, Canada, 2010. |
| [13] | 段永刚, 曹廷宽, 王容, 等. 页岩气产量幂律指数递减分析 [J]. 西南石油大学学报 (自然科学版), 2013, 5 (35): 172-176. |
| [14] | 刘传斌, 姜汉桥, 李俊键, 等. 预测页岩气产量递减组合模型的研究阴 [J]. 断块油气田, 2015, 22 (4): 481-483. |
| [15] | 田亚鹏, 鞠斌山.基于遗传算法改进BP神经网络的页岩气产量递减预测模型 [J]. 中国科技论文, 2016, 11 (15): 1710-1715. |
| [16] | 宋海敬, 苏云河, 熊小林, 等. 页岩气井EUR评价流程及影响因素 [J]. 天然气地球科学, 2019, 30 (10): 1531-1537. |
| [17] | 赵玉龙, 梁洪彬, 井翠, 等. 页岩气井EUR快速评价新方法 [J]. 西南石油大学学报(自然科学版), 2019, 41 (6): 124-131. |
| [18] | 张卓, 牛伟, 胡冉冉, 等. 页岩气EUR快速评价方法应用 [J]. 石油化工应用, 2020, 39 (9): 6-10. |
| [19] | 熊小林. 威远页岩气井EUR主控因素量化评价研究 [J]. 中国石油勘探, 2019, 24 (4): 532-538. |
| [20] | 张楠, 魏金兰, 宋祖勇, 等. 致密气藏压裂水平井动态产能评价新方法 [J]. 科学技术与工程, 2014, 14 (21): 76-80. |
| [21] | 张楠. 苏53区块水平井生产动态分类评价 [J]. 非常规油气, 2021, 8 (2): 88-94. |
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