METHOD FOR FORECASTING INCREASE IN LIQUID PRODUCTION FOR OPTIMIZE SELECTION OF CANDIDATES FOR HYDRAULIC FRACTURING

V. O. Polezhaev, R.R. Ramazanov, I.I. Yapparov, L.M. Zhdanov, V.S. Oleinikov, A.F. Mingazov
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Abstract

Over the past 20 years, the structure of reserves of Russian oil fields has undergone significant changes: with a general increase in reserves, there has been a significant increase in the share of hard to recover reserves (HTR). In the HTR structure of the Russian Federation, low-permeability and heterogeneous reservoirs are identified as the main subgroup (64 %), in 2022, approximately 30 % of all Russian oil was produced from HTR (166 from 535 million tons). In such reservoirs, to maintain and ensure high levels of oil recovery, a workovers such as hydraulic fracturing (HF) is used.Petroleum production companies have various technical and infrastructal capabilities for the selection of candidate wells for workover. Some oil companies use the support of design institutes and service companies that mining andhave specialized geological software products for monitoring and selection of workovers, others make do with the knowledge and skills of selecting their own specialists. However, due to the development of residual recoverable reserves and the unprofitability of the workover every year to select candidate wells, it is becoming increasingly difficult to select candidate wells. Working out the entire well stock and selection candidate wells using standard techniques takes a huge amount of time for a specialist. The article proposes a solution to the topical issue of optimizing the selection of candidate wells for hydraulic fracturing by predicting the dynamics of production wells based on historical data for various geological conditions. The developed method for forecasting the flow rate of liquid and oil on the basis of the rate of change in reservoir pressure and water cut of the well allows you to predict the flow rate for two years ahead, monthly estimates the possible increase from hydraulic fracturing and allows you to determine the optimal time for repeated or primary hydraulic fracturing at the well. This approach sharply narrows the number of potential candidates from a coupe of hundred to two to three dozen potential candidates.
预测液体产量增长以优化水力压裂候选方案的方法
在过去 20 年中,俄罗斯油田的储量结构发生了重大变化:随着储量的普遍增加,难采 储量(HTR)所占比例也显著增加。在俄罗斯联邦的难采储量结构中,低渗透性和异质储层被确定为主要子群(64%),2022 年,俄罗斯所有石油中约有 30% 产自难采储量(从 5.35 亿吨增加到 1.66 亿吨)。在这类油藏中,为了保持和确保高采油水平,需要使用水力压裂(HF)等改造方法。石油生产公司在选择改造候选井方面拥有各种技术和基础设施能力。一些石油公司利用设计院和服务公司的支持,这些设计院和服务公司开采并拥有专门的地质软件产品,用于监测和选择修井,而其他公司则利用知识和技能选择自己的专家。然而,由于剩余可采储量的开发和每年选择候选井进行修井的无利可图性,候选井的选择变得越来越困难。使用标准技术计算整个油井储量和选择候选井需要花费专家大量的时间。本文针对水力压裂候选井的优化选择这一热点问题提出了一种解决方案,即根据不同地质条件下的历史数据预测生产井的动态。根据储层压力变化率和油井截水量,所开发的预测液体和石油流量的方法可以预测未来两年的流量,按月估算水力压裂可能增加的流量,并确定油井重复或一次水力压裂的最佳时间。这种方法将潜在候选井的数量从几百口锐减到二三十口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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