Term 252

AI-Powered Seismic Data Interpretation Tool

Project Type: Self-Initiated

Project Description

This project will develop AI-based seismic interpretation tools to fill the gap between the seismic datasets and the time taken to manually convert the data into actionable interpretation products to minimize human intervention in horizon and fault picking and detection, promote decision making algorithms through optimizing the speed and accuracy of classifying geophysical subsurfaces, and address seismic volume growth. In addition, this project uses AI algorithms to operate on the resources without depending on the cloud-based solutions through the following methods: local AI inference for handling big data efficiently as long as it complies with KFUPM’s privacy, structured workflow of seismic dataset through the dedicated interpretation software platform, and integration and validation of outputs of smart horizon and fault detection. The objectives of this project are to validate a computerized, locally executed AI-assisted seismic interpretation system that processes industry-standard seismic data formats, support fault and horizon detection and picking, and generate interpretation outputs that can be directly used within professional seismic interpretation software to support geophysical and petroleum-related decision-making.