Abstract

Precise reserve estimation is the most crucial aspect of a field during exploration and development. The understanding of fluid content, extension of the reservoir, and net pay are key parameters in planning a field development. To achieve these objectives, the often used geophysical datasets acquired during various stages of the field are the well logs and 3D seismic data. Well logs have good vertical resolution but poor horizontal resolution whereas seismic data has a good horizontal resolution but poor vertical resolution. Wells and seismic are often integrated either using a physics based approach like inversion or data science approach like machine learning or a hybrid of the above two methods, inversion followed by linear regression.