--> ABSTRACT: Quantitative Prediction of Regional Brown Limestone Source Rock Richness in the Gulf of Suez Utilizing Core-Calibrated Geophysical Logs, by H. H. Hinch, A. N. Shahin, C. M. Gold, S. Palmer Koleman, and M. Shehab; #91021 (2010)

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Quantitative Prediction of Regional Brown Limestone Source Rock Richness in the Gulf of Suez Utilizing Core-Calibrated Geophysical Logs.

HINCH, HENRY H., DR. AHMED NABIL SHAHIN,  COLLEEN M. GOLD,  SUSAN PALMER KOLEMAN, and MOHAMMED SHEHAB,

Brown Limestone Source Rock richness can be accurately predicted on a regional scale from geophysical log data.

Geophysical logs must first be calibrated by establishing an empirical correlation between log data and source rock richness data from core measurements. Brown Limestone conventional cores were cut in two different wells approximately forty miles (64 km) apart. Closely spaced samples of these cores were analyzed for geochemical and petrophysical properties. Geophysical data from six different logs were sampled at the same depths from which core samples were taken. Multiple linear regression analysis of these data indicated that the combination of sonic, gamma ray and density log data was the most accurate predictor of source rock richness in terms of measured weight % total organic carbon (TOC). The predictive relationship for data combined from both wells takes the form of Equation 1:

(TOC)=(0.0837)(sonic)+(0.0139)(gamma)-(1.5710)(density)-(0.1501).

When Equation I was used to predict weight % total organic carbon (TOC), there was no significant difference between mean predicted and mean measured values of (TOC) for Brown Limestone sequences evaluated.

AAPG Search and Discovery Article #91021©1997 AAPG Annual Convention, Dallas, Texas.