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The Spontaneous Potential (SP) log has served for decades as a borehole correlation log and, under favorable circumstances, for the reliable in-situ assessment of water resistivity in rock formations of interest. Nevertheless, it is known from laboratory and field measurements that SP logs are sensitive to the presence of hydrocarbons. This work introduces the principles of SP log modeling using a mechanistic approach and describes their implementation in a SP log numerical simulator. Various synthetic and field cases verify the capabilities and improvement due to numerical modeling in the interpretation of SP logs.…mehr

Produktbeschreibung
The Spontaneous Potential (SP) log has served for decades as a borehole correlation log and, under favorable circumstances, for the reliable in-situ assessment of water resistivity in rock formations of interest. Nevertheless, it is known from laboratory and field measurements that SP logs are sensitive to the presence of hydrocarbons. This work introduces the principles of SP log modeling using a mechanistic approach and describes their implementation in a SP log numerical simulator. Various synthetic and field cases verify the capabilities and improvement due to numerical modeling in the interpretation of SP logs.
Autorenporträt
Joshua Bautista-Anguiano was born in Mexico in 1990. He joined the National Autonomous University of Mexico (UNAM) in the Geophysical Engineering Program in 2008, graduating in 2013. He holds a Master's degree on Petroleum Engineering from The University of Texas at Austin, completed in 2016. He currently pursues his Ph.D. degree in Texas.