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This paper introduces an end-to-end in-house development of an AI-assisted subsurface workflow designed for compartmentalized gas fields in the Gulf of Thailand, which faces the challenge of small reservoirs requiring a large number of wells and swift subsurface analysis. The objective is to streamline and automate key subsurface processes—subsurface interpretation (fault, horizon, prospect), well targeting, and production forecasting—to reduce exhaustive effort, improve consistency, and suggest optimal decision-making across the full field development lifecycle.
It blends domain expertise with advanced analytics, runs on HPC, and integrates with commercial software, offering a scalable solution for faster, smarter E&P decisions. The overall could streamline the process in GoT and provide benefit from improved investment decisions in all aspects, from seismic interpretation, well targeting, and production optimization.