基于大数据分析的深层页岩气水平井井距优化新技术——以四川盆地南部泸州区块阳101井区为例  

Spacing optimation technology for deep shale gas horizontal wells based on big data analysis: A case study of Well Block Yang 101 in the Luzhou Region,South Sichuan Basin

作　　者：胡浩然 吴建发 杨学锋 常程 张德良 张鉴 赵圣贤 樊怀才 HU Haoran;WU Jianfa;YANG Xuefeng;CHANG Cheng;ZHANG Deliang;ZHANG Jian;ZHAO Shengxian;FAN Huaicai(Shale gas Research Institute,PetroChina Southwest Oil&Gasfield Company,Chengdu,Sichuan 610051,China)

机构地区：[1]中国石油西南油气田公司页岩气研究院,四川省成都市265500

出　　处：《天然气工业》2022年第8期202-211,共10页Natural Gas Industry

基　　金：中国石油天然气集团有限公司科学研究与技术开发项目“深层页岩气开发优化技术现场试验”(编号:2019F-31-02);中国石油天然气集团有限公司勘探与生产分公司科技项目“页岩气提高储量动用程度技术研究”(编号:KT2021-11-02)。

摘　　要：深层页岩气资源丰富,开发前景广阔,其合理的水平井井间距能同时兼顾单井产能最大化及井间储量的充分动用。为了解决深层页岩气现场试验和数值模拟方法在井距优化时投资及时间成本高,误差大,产能预测评价结果代表性不足等问题,以四川盆地南部泸州区块阳101井区为例,在结合数值模拟和大数据分析技术的基础上,基于不同天然裂缝三维地质模型,确定地质工程、压裂工艺条件下具有概率统计意义的压裂裂缝参数范围,并开展不同裂缝参数组合、不同井距条件下随机产能预测;最后综合考虑单井产能、平台采收率及经济效益,明确了最具代表性的合理井距范围。研究结果表明:(1)基于数值模拟与大数据分析的井距优化技术,能较好地解决天然裂缝特征差异性、压裂缝网参数不确定性对井距的影响;(2)网状缝发育区,井间干扰程度相对低,可适当减小井距以提高井间储量动用程度,设计技术经济一体化井距介于300~350 m;(3)单一方向缝发育区,可适当增加井距以保障单井产能,设计技术经济一体化井距介于350~400 m。结论认为,通过大数据的方法进行合理井距优化,是今后页岩气大数据赋能的重要趋势,该新技术在阳101井区页岩气开发实践中应用效果较好,为深层页岩规模效益开发提供了有益参考。There are abundant deep shale gas resources and their development prospect is promising. Reasonable horizontal well spacing can maximize single well productivity while producing inter-well reserves sufficiently. When field test and numerical simulation of deep shale gas is used for well spacing optimization, the investment and time cost are high, the error is large, and the productivity prediction and evaluation results are not representative enough. In order to solve these problems, this paper takes Well Block Yang 101of the Luzhou Region in South Sichuan Basin as an example to determine the range of hydraulic fracture parameters with probability statistical significance under the conditions of geological engineering and fracturing technology, based on the three-dimensional geological model with different natural fractures, combined with numerical simulation and big data analysis. In addition, the stochastic productivity prediction under different fracture parameter combinations and different well spacing conditions is carried out. Finally,the range of the most representative reasonable well spacing is determined by considering single well productivity, platform recovery factor and economic benefit comprehensively. And the following research results are obtained. First, the well spacing optimization technology based on numerical simulation and big data analysis can better solve the influence of diverse natural fracture characteristics and uncertain fracturing network parameters on well spacing. Second, in the area with network fractures, inter-well interference is less, so well spacing can be reduced appropriately to improve the producing degree of inter-well reserves, and the well spacing of technical and economic integration can be designed at 300–350 m. Third, in the area with single direction fracture, the well spacing can be increased appropriately to ensure single well productivity, and the well spacing of technical and economic integration can be designed at 350–400m. In conclusion, the reasonable wel

关 键 词：深层页岩气 泸州区块 天然裂缝 压裂裂缝 单井产能 采收率 经济评价 大数据分析 水平井合理井距 

分 类 号：TE37[石油与天然气工程—油气田开发工程]