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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