Log response of thin oil layers is greatly subject to the environmental factors such as shoulder beds, resulting in error high enough to influence appraisal of rock lithology and fluid properties, and increasing the difficulty of interpretation of logging curves and the effective evaluation of thinly laminated sand. The development of high-resolution logging instruments and logging curve processing technology improves the resolution and accuracy of logs, but with some limitations. So far, geometric factor theory is an effective approximate approach for induction logging correction. Based on working principle of induction/resistivity log and previous studies, we develop a new model to correct resistivity log response of thin layers by taking advantage of geometric factor. This method can improve the accuracy of resistivity log for calculation of porosity and water saturation. The case study shows that more reliable resistivity can be acquired to better characterize thin layers.
Delineation of Salt Water Intrusion through Use of Electromagnetic-Induction Logging: A Case Study in Southern Manhattan Island, New York