数据挖掘/分析

由机器学习提供支持的生产增强候选筛选释放了棕地潜力

本文介绍了在马来西亚海上棕地中识别产量提升机会的过程,以及用于识别表现不佳的候选人和分析井完整性问题的方法。

PECGS 实施对 WBWR 的影响。
图1——PECGS实施对WBWR的影响。
来源:SPE 215244。

马来西亚东部近海的 A 油田是一个生产性常规油田,已有 30 多年的历史。它遇到了一些地面和地下问题,包括出砂、含水量增加和油藏压力衰竭。完整的论文介绍了识别增产机会的过程,开发了一种识别表现不佳的候选方案和分析井完整性问题的方法,并描述了如何整合数据科学和工程分析。

介绍

A 油田正在进行再开发,包括提高采收率、增产 (PE) 计划、闲置井恢复 (IWR) 和加密钻井等活动。然而,A 油田的运营和 PE 计划面临多重挑战。

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Data mining/analysis

Production-Enhancement-Candidate Screening Powered by ML Unlocks Brownfield Potential

This paper presents the processes of identifying production enhancement opportunities, as well as the methodology used to identify underperforming candidates and analyze well-integrity issues, in a brownfield offshore Malaysia.

Effect of PECGS implementation for WBWR.
Fig. 1—Effect of PECGS implementation for WBWR.
Source: SPE 215244.

Field A offshore East Malaysia has been a productive conventional oil field for more than 3 decades. It has encountered several surface and subsurface issues, including sand production, increasing water cut, and reservoir-pressure depletion. The complete paper presents the process of identifying production-enhancement opportunities, develops a methodology to identify underperforming candidates and analyze well-integrity issues, and describes how data science and engineering analyses are integrated.

Introduction

Field A is undergoing redevelopment, including activities such as enhanced oil recovery, production-enhancement (PE) initiatives, idle-well reactivation (IWR), and infill drilling. However, Field A’s operations and PE initiatives face multiple challenges.

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