基于储层参数的水力压裂效率预测

Q3 Engineering
А. Dieng, G. P. Khiznyk, V. V. Poplygin
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引用次数: 0

摘要

据专家介绍,采用水力压裂可使油气采收率提高10-15%。彼尔姆边疆区属于俄罗斯联邦的老产油区。迄今为止,Perm地区油田剩余可采储量的60%以上集中在碳酸盐岩矿床中。大多数油田目前处于开发的后期阶段。一般来说,这些油田的特点是存在残余储量和低井流量的不排水区。油田剩余储量大多集中在低渗透、非均质性高、流体过滤困难的储层中。不幸的是,实践中得到的结果并不总是与初步计算相符,也达不到计划的产油量。因此,利用数学分析方法来预测水力压裂作业的有效性就出现了问题。水力压裂的效果无疑受到地质参数和工艺参数的双重影响。本文针对彼尔姆地区某油田的卡希尔斯基(Kashirsky, K)和波多尔斯基(Podolsky, Pd)碳酸盐岩产油层,基于地质参数和工艺参数,采用分步回归分析方法,对水力压裂后的初始产油量进行了预测。模型与实验结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters
According to experts, the use of hydraulic fracturing can increase the oil and gas recovery factor by 10-15%. The Perm Territory belongs to the old oil-producing region of the Russian Federation. To date, more than 60% of the remaining recoverable oil reserves of the fields of the Perm region are concentrated in carbonate deposits. Most of the fields are currently in the late stages of development. These fields, as a rule, are characterized by the presence of undrained zones with residual reserves and low well flow rates. Most of the remaining reserves of the fields are concentrated in low-permeability reservoirs with a high degree of heterogeneity and difficult fluid filtration. Unfortunately, the results obtained in practice do not always correspond to preliminary calculations and do not reach the planned oil production rates. In connection with the above, the problem arises of predicting the effectiveness of hydraulic fracturing operations using mathematical methods of analysis. The effectiveness of hydraulic fracturing is undoubtedly influenced by both geological and technological parameters. In this paper, for the carbonate Kashirsky (K) and Podolsky (Pd) productive deposits of one of the oil fields in the Perm region, using step-by-step regression analysis based on geological and technological parameters, a forecast of the initial oil production rate after hydraulic fracturing was made. There was good agreement between model and experimental results obtained.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
29
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