Reservoir characterization of complex fault zones seen in seismic data and honoring them in static and dynamic models can be challenging. Nevertheless, understanding the fault relationships seen in seismic and other data sources, including well dip meter/image data and production data, is critical to capture the potential effect of complex structures on fluid flow within the reservoir. The problem is compounded when working in a brownfield with a stacked reservoir section of more than 2,000 ft [610 m]. There, the vertical fault relationship becomes as important as the lateral relationships, and standard pillar-grid-based methods are ineffective. A novel workflow is therefore proposed to characterize complex faults in such reservoirs using Ant Tracking, well and production data, fluid contact information, and honouring such data in static and dynamic models using new technology based on triangulated framework-based models and stair-step faulting. The paper presents a case study from the Samarang field, located offshore Sabah, Malaysia, where this methodology helped in resolving key modeling and field-development planning issues in a complex fault zone.


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