SPE Caspian Technical Conference and Exhibition 2024
DOI: 10.2118/223382-ms
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Predicting Photoelectric Logs in Challenging Conditions Using Machine Learning and Statistical Analysis

Eassa Abdullah,
Reem AlYami

Abstract: The photoelectric (PEF) log measures the photoelectric absorption factor, pivotal for determining rock matrix properties. High absorption factor values are typical in limestones, dolomites, clay, iron-bearing minerals, and heavy minerals, whereas sandstones exhibit lower values. In this study, actual photoelectric logs were gathered from the field alongside various other logs such as gallons per minute (GPM), standpipe pressure (SPP), rate of penetration (ROP), and bulk density (RHOB). Utilizing a suite of mac… Show more

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