Shear Wave Velocity Synthesis Using Conventional Well Log Data and Ant Colony Algorithm in Cheshmeh–Khosh Oilfield

Document Type : Research Paper

Authors

1 Geology Department, Earth Sciences Faculty, Shahid Chamran University, Ahvaz, Iran

2 Geology Department, Natural Sciences Faculty, Tabriz University, Iran

Abstract

The prediction of geomechanical parameters of a reservoir such as compressional and shear waves velocities is an important subject for the gas and oil reservoir engineers to understand the reasons of reservoir fracturing, well stability, and hydraulic fracturing process through the characterization of these elements. In the present study, we tried to predict the compressional wave velocity by a new and powerful technical method of ant colony algorithm. The results were then compared with other artificial intelligence methods. The input data of the model were selected logs of NPHI, RHOB, and Vp. To provide the model and its validity, all the data were divided into two parts: education and testing. The results revealed that ant colony algorithm had a high potential to estimate the geomechanical parameters of the reservoir, which has made considerable advances in improving data.
 

Keywords


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