Automated Identification of the Optimal Sidetrack Location by Multivariant Analysis and Numerical Modeling. A Real Case Study on a Gas Field

Bulat Magizov, T. Topalova, O. Loznyuk, Evgeniy Simon, A. Orlov, V. Krupeev, Dmitry Shakhov
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引用次数: 2

Abstract

The task of choosing the sidetrack trajectory for drilling is one of the most common among specialists while workovers planning in oil and especially in gas fields. This task is solved by reservoir engineers, geologists and drilling engineers, both in a team and separately. Despite the widespread use of software for processing and analyzing the data and high automation of most routine tasks, many oil and gas companies lack a unified methodology for choosing sidetrack trajectory. Each oil and gas company has its own approach to this task. Usually, the process of analyzing candidates is based on the expert opinion of the well design engineer and has several limitations, such as: ▪Short deadlines - on average, it takes from two to three weeks to select the sidetrack drilling trajectory.▪Low automation of the process of creating and analyzing the trajectory - the trajectory is created by a specialist manually, this process takes, considering the time for analysis, from two to four days for one trajectory. As a result, about five candidates are considered for the allotted time.▪Analysis of a small number of influencing factors — two-dimensional maps of averaged permeability, residual reserves maps, a seismic map of average amplitudes, as well as the proximity of the candidate to the existing well stock are mainly considered during analysis of the trajectory.▪Prediction of the flow rates is not always based on the hydrodynamic model - when calculating the candidate's starting flow rate due to tight deadlines, not all trajectories are analyzed using the hydrodynamic model, for part of the trajectories flow rates are calculated only using analytical techniques, such as the Joshi equation (Joshi, 2018).▪The risk of human factor. Sidetrack drilling, like other workovers, is aimed at increasing the flow rate of the well and the cumulative production of the entire field. In gas fields with falling production and high drilling density, sidetrack drilling can help significantly extend production time with the same level or increase production. Drilling a sidetrack, rather than a new well, can significantly reduce drilling costs, since the main well has already been drilled. Potentially, almost any well, especially with falling production rate or high water cut, can be a candidate for sidetrack drilling. According to the data from the Federal Supervision of Natural Resources in 2017, almost a quarter of all wells in Russia are inactive or shut, which is almost 60,000 wells.
基于多变量分析和数值模拟的最优侧道位置自动识别。某天然气田实际案例研究
选择钻井侧钻轨迹是专家在石油,特别是气田修井计划中最常见的任务之一。这项任务是由油藏工程师、地质学家和钻井工程师共同完成的,他们可以组成一个团队,也可以单独完成。尽管软件被广泛用于处理和分析数据,并且大多数日常任务都高度自动化,但许多油气公司缺乏统一的方法来选择侧钻轨迹。每家石油和天然气公司都有自己的方法来完成这项任务。通常,候选井的分析过程是基于井设计工程师的专家意见,并且有一些局限性,例如:-期限短-平均而言,选择侧钻轨迹需要两到三周的时间。▪轨迹创建和分析过程的自动化程度较低——轨迹是由专家手动创建的,考虑到分析的时间,这个过程需要2到4天的时间。因此,在分配的时间内,大约有五名候选人被考虑。▪分析少量影响因素——平均渗透率的二维图、剩余储量图、平均振幅的地震图,以及候选井与现有井的接近程度,这些都是在轨迹分析中主要考虑的因素。▪流量的预测并不总是基于流体动力学模型——由于截止日期紧迫,在计算候选项目的启动流量时,并非所有轨迹都使用流体动力学模型进行分析,因为部分轨迹流量仅使用分析技术计算,例如Joshi方程(Joshi, 2018)。▪人为因素的风险。与其他修井一样,侧钻的目的是提高井的流量和整个油田的累计产量。在产量下降、钻井密度高的气田,侧钻可以在同等水平下显著延长生产时间或提高产量。钻侧钻而不是新井,可以显著降低钻井成本,因为主井已经钻完。几乎所有的井,尤其是产量下降或含水高的井,都可以选择侧钻。根据2017年联邦自然资源监管局的数据,俄罗斯近四分之一的油井处于闲置或关闭状态,即近6万口井。
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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