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This reference is for an abstract only. A full paper was not submitted for this conference. Abstract As the Arthit development team was reviewing the Arthit field in-place volume and production data, a new way of looking at the hydrocarbon traps emerged that helped understanding the hydrocarbon distribution and well performance whilst at the same time offered a new way to optimally develop the field's resources. Integrating all geological, geophysical and petrophysical data with production information suggested that most of Arthit accumulations were located into combined structural-stratigraphic traps. Based on their structural configuration, those traps could be grouped into further categories that show distinct reservoir and fluid distributions in the various geological units. From then a trap style based resource assessment method was designed and fully integrated with the overall asset development workflow. When combined with reservoir geometry and direction statistics, a simple analysis of the trap configuration and orientation allows for a straight ranking of each prospect and also offers ways to de-risk development platforms and assists in optimizing the project economics by helping to define the optimal well spacing needed to maximize the gas resources. This concept has been recently successfully tested by Arthit development and infill wells in 2010. This new way of looking and quantifying at the traps resulted in a net increase in gas resource of approximately 30% by unlocking combined traps volumes and it is strongly believed that more such prospective resources can be discovered in other fields within the Gulf of Thailand since the reservoirs often share similarities, such as narrow compartments, short stacked hydrocarbon columns and discrete reservoir bodies with poor connectivity. This new workflow makes intensive use of the 3D integrated visualization, mapping and well planning software as it helped to significantly shorten turn-around time from prospect mapping, conceptual well planning to post-drill analysis. It has enabled a close cross-discipline co-operation and is being proactively pushed as a standard in PTTEP.

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