Factor Analysis of Basic Production

Vitaliy Oleynikov, Nikolay Cherkovskiy
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Abstract

A brownfield basic production generally provides at least 90% of total production, it is sometimes called current declining well stock production or even free one. It is on the brownfields where accurate understanding and operational control of basic production are especially important. The most important and complicated features of the basic production are related to its all-time decrease, that can be traced to such things as watercut increase during the stock work out, well stock disposal and others, impact of which is difficult to calculate in the obvious way. An existing process of direct change of basic production calculation by types and factors is presented in this article. Tasks to be solved are limited by the determination of wells, causes and magnitudes of changes in basic production with the reason of making operational decisions on the application of operations, as well as by the generation of statistical data with the reason of the basic production dynamics prediction. The first key step is to select the well stock, the main basic production (wells without the previous year GTO) and unsteady basic production (the GTO wells of the previous year). Differentiation of the main and unsteady basic production allows to consider the volume of previous year GTO and to increase the accuracy of the projection. The second step is the calculation of daily average oil production reduction factors: the changes by debit, by the operational efficiency and by the average well stock. Factor clarification identifies the production decline reasons and allows to select effective corrective operations. The algorithm automation allows conducting of an analysis of the history and obtaining of reliable statistical base for risks calculating of basic production eventually. The basic production forecast calculating is made according to the analysis factors, it allows to control the deviations causes of the actual forecast performance. The main result of the work is the development and continuous use of factor analysis of basic production, determination of production change by factors for each well, formation of targeted corrective operations, risk assessment for basic production on a one-year planning horizon. The developed complexes and combinations of calculations, conditions and filters made it possible to form a unique algorithm for the direct calculation of all the factors affecting on basic production "without a trace". The developed visualization tools allow working with large data arrays and easy integrating of the results at the required level (cluster wells sites, development objects, oilfields, workshops). For the first time a methodology for the risks assessing of basic production based on historical data was developed and used with the ability to clarify the impact of any period. Selected activities show the high efficiency. The approach development is determined in the way of automation and expansion of the causes determining functional of changes in the basic production, in the improvement of visualization tools. A method of basic production decline target rate calculating based on the factor analysis of basic production is now being developed for operating programs developing to minimize the basic production decline rate. This work is an important step in the development of basic production management efficiency based on objective operational monitoring of well operating modes.
基础生产要素分析
棕地的基本产量通常至少占总产量的90%,有时被称为当前递减井存量产量,甚至是自由井。在棕地,对基础生产的准确理解和操作控制尤为重要。基础生产最重要和最复杂的特征是其持续递减,这可以追溯到库存计算过程中含水增加、井库存处置等,其影响难以明显计算。本文提出了一种直接改变按类型、按要素计算基本产量的现有方法。要解决的任务受限于井的确定、基本生产变化的原因和幅度,以及对作业应用进行作业决策的原因,以及对基本生产动态预测的原因产生的统计数据。第一个关键步骤是选择井库、主要基本生产(上一年无GTO井)和非稳定基本生产(上一年无GTO井)。区分主要和非稳定基本产量,可以考虑上一年GTO的产量,提高预测的准确性。第二步是计算每日平均产油量减少系数:通过借方、操作效率和平均井存量来计算变化。因素澄清识别产量下降的原因,并允许选择有效的纠正措施。算法的自动化可以对历史进行分析,最终为基础生产的风险计算提供可靠的统计依据。根据分析的因素进行基本的生产预测计算,可以控制实际预测效果的偏差原因。这项工作的主要成果是开发和持续使用基础生产因素分析,确定每口井的生产变化因素,制定有针对性的纠正作业,并在一年的规划范围内对基础生产进行风险评估。计算、条件和过滤的复杂和组合的发展,使得有可能形成一种独特的算法,直接计算影响基本生产的所有因素,“不留痕迹”。开发的可视化工具可以处理大型数据阵列,并在所需级别(井场、开发对象、油田、车间)轻松集成结果。第一次开发了一种基于历史数据的基本生产风险评估方法,并使用了这种方法,能够澄清任何时期的影响。所选活动显示出高效率。方法的发展确定在自动化的方式和扩展的原因确定功能的变化基本生产,在可视化工具的改进。目前正在开发一种基于基本产量因素分析的基本产量下降目标率计算方法,以制定最小基本产量下降率的操作方案。这项工作是在对井的作业模式进行客观监测的基础上,发展基础生产管理效率的重要一步。
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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