3D Seismic data interpretation, such as horizons and faults, in oil and gas exploration typically requires significant human resources and operational time. To address this, JAPEX and JOGMEC have developed AI models to streamline the interpretation process, reduce variability among individual interpreters, and minimize the risk of overlooking potential fields.
Two types of AI models have been built:（1）structure AI model and（2）Amplitude variation versus offset（AVO）AI model. The structure AI model predicts subsurface structures, including faults and channels. To improve the AI mode, a sufficient amount of training data is necessary. Over 1000 synthetic seismograms were generated based on artificial geological models for this purpose. The AVO AI model focuses on extracting AVO anomalies for oil and gas reservoirs. Similarly, large amounts of artificial geological models were created as with the first AI model.
Finally, a workflow was established to identify prospects during exploration. The structure AI model is executed initially to extract faults and channels from the 3D seismic data, followed by running the AVO AI model to screen high- potential reservoirs. Subsequently, further investigation would be conducted through seismic phase analysis and pre- stack inversion to support subsequent exploration efforts.
