Manuscript Topics

Artificial intelligence has evolved into a powerful tool for solving problems in exploring the earth interior and understanding its properties. By training the computers with collected human experiences, tasks like fault detection, first break picking, and horizon tracking can be performed with better efficiently and accuracy than human. Machine learning is being applied to solve advanced geophysical problems like multi-parameter inversion, time-lapse monitoring, uncertainty quantification, and discovering governing laws. The demand for advanced artificial intelligence is continuously increasing. Recent advances in machine learning and hardware encourage algorithm innovation and application to meet more challenges in geophysics.

The objective of this special issue is to present a collection of technical articles that applies artificial intelligence in addressing both theoretical and operational challenges in geophysical explorations. This special issue also provides a forum for discussions on how machine learning techniques and conventional methods can be combined to better solve problems in geophysical data processing, inversion, and interpretation.

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