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Risk-Based Statistical Approach To Predict Casing Leaks

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Currently, the predominant technology for measuring casing integrity is electromagnetic corrosion logging. While this technology has improved the ability to measure and monitor corrosion, the findings usually are not conclusive and need to be integrated with other data to enable qualitative assessments. A probabilistic approach was introduced to improve interpretation of data from electromagnetic corrosion logs. This paper presents a statistical risk-based approach to predicting casing leaks using electromagnetic corrosion logs.

Introduction

Sound well-integrity-management strategy in mature fields, where wells can sustain economic production for 30 to 50 years, is vitally important. Failing to implement this strategy can lead to a catastrophic loss of both assets and human life. One example of such loss is surface leaks that are caused by downhole multiple casing impairments caused by active shallow aquifer corrosion.

Corrosion logging provides the most-direct measurement of casing integrity and can be used as a predictive measure as well. Mechanical, ultrasonic, and electromagnetic tools are three main types of corrosion-logging tools. A mechanical multifinger tool uses multiple high-resolution calipers to measure slight changes in the internal diameter of tubing and casing strings. The tool deploys an array of hard-surfaced fingers that monitors the inner pipe wall. Each of the sensors generates an independent signal that is recorded against depth.

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper SPE 183948, “Risk-Based Statistical Approach To Predict Casing Leaks,” by Mohammed D. Al-Ajmi, SPE, Saudi Aramco; Dhafer Al-Shehri, SPE, King Fahd University of Petroleum and Minerals; and Nasser M. Al-Hajri, Abdullrahman T. Mishkes, Muhammad A. Al-Hajri, SPE, and Nayef S. Al-Shammari, SPE, Saudi Aramco, prepared for the 2017 SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 6–9 March. The paper has not been peer reviewed.
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Risk-Based Statistical Approach To Predict Casing Leaks

01 June 2018

Volume: 70 | Issue: 6

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