Innovative Temperature Log Analysis a Field-Scale Framework for Enhanced Well Integrity and Integration

Abstract This study introduces a novel, systematic methodology for analyzing temperature logs at a field scale, moving beyond traditional single-well evaluation. By integrating temperature data with geological, geophysical, and operational datasets, the approach enhances well integrity assessment, optimizes workover planning, and supports proactive field-wide integrity management. The methodology follows a multi-step process: initial downhole temperature logs establish a baseline, while deviations flag potential wellbore integrity issues. Advanced tools such as electromagnetic (EM) and noise logs are deployed to validate anomalies and measure downhole temperature gradients. Cross-well comparisons and spatial correlations with regional geological and hydrogeological features focus on detecting lateral flows and behind-casing cross-flow, providing detailed, actionable insights. By leveraging temperature mapping and integrating it with other datasets, the approach identifies zones with potential subsurface anomalies and continuity between wells. These patterns inform predictions of integrity risks and highlight the role of well design and cement quality in high-risk areas. A ranking system prioritizes wells for further evaluation, enabling strategic resource allocation and enhancing operational planning. This methodology shifts the focus from individual wells to a holistic, field-centric integrity evaluation. By aligning thermal anomalies with geological and operational factors, it provides a structured framework for informed intervention planning, supporting proactive well integrity management and improving overall field performance.

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Publication Details

Published
2025-09-16
DOI
https://doi.org/10.2118/226932-ms
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
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article

Innovative Temperature Log Analysis a Field-Scale Framework for Enhanced Well Integrity and Integration

N. R. Ikhsanov, Wajid Ali, Renato Orta, H. Jassem
Reservoir Engineering and Simulation Methods
article

Innovative Temperature Log Analysis a Field-Scale Framework for Enhanced Well Integrity and Integration

N. R. Ikhsanov, Wajid Ali, Renato Orta, H. Jassem
article en

Abstract

Abstract This study introduces a novel, systematic methodology for analyzing temperature logs at a field scale, moving beyond traditional single-well evaluation. By integrating temperature data with geological, geophysical, and operational datasets, the approach enhances well integrity assessment, optimizes workover planning, and supports proactive field-wide integrity management. The methodology follows a multi-step process: initial downhole temperature logs establish a baseline, while deviations flag potential wellbore integrity issues. Advanced tools such as electromagnetic (EM) and noise logs are deployed to validate anomalies and measure downhole temperature gradients. Cross-well comparisons and spatial correlations with regional geological and hydrogeological features focus on detecting lateral flows and behind-casing cross-flow, providing detailed, actionable insights. By leveraging temperature mapping and integrating it with other datasets, the approach identifies zones with potential subsurface anomalies and continuity between wells. These patterns inform predictions of integrity risks and highlight the role of well design and cement quality in high-risk areas. A ranking system prioritizes wells for further evaluation, enabling strategic resource allocation and enhancing operational planning. This methodology shifts the focus from individual wells to a holistic, field-centric integrity evaluation. By aligning thermal anomalies with geological and operational factors, it provides a structured framework for informed intervention planning, supporting proactive well integrity management and improving overall field performance.

Saudi Aramco (Saudi Arabia) (SA)
Openalex Percentile: Top 69%
Reservoir Engineering and Simulation Methods
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