Oilfield services company Schlumberger has released the GeoTesting geology-based well test design and interpretation service at the 2016 SPE (Society of Petroleum Engineers) Annual Technical Conference and Exhibition in Dubai.
The company said on Tuesday that GeoTesting services, which will be built in the Petrel E&P software platform, would maximize the value of well tests by integrating geological and geophysical models with dynamic well test data in a shared earth model for more accurate interpretation compared with conventional analysis limited to geometrical models.
Wallace Pescarini, President of Testing Services at Schlumberger: “GeoTesting services bring a new level of certainty to reservoir characterization with optimized well test designs that validate and calibrate reservoir models using dynamic measurements.
“With high-quality data and analysis representative of the reservoir, customers can vastly improve production forecasting, determine reservoir connectivity and identify sweet spots.”
The Petrel GeoTesting plug-in features Global Sensitivity Analysis designed for targeting geological features of interest and incorporating uncertainty in the geological model during well test design and execution. According to Schlumberger, it will maximize confidence in the data while minimizing well test duration and cost.
New grid-based inversion technology automatically calibrates reservoir models with dynamic well test data for direct integration into the reservoir model, enabling more accurate reservoir characterization.
Also, the naturally fractured reservoir pressure transient simulator provides new insight into the complex behavior of transients and the matrix–fracture interaction, which is critical for field management in carbonates and unconventional reservoirs.
While operating on the Wisting Central II appraisal well in the Norwegian Barents Sea, OMV used GeoTesting services to characterize a geologically complex reservoir, which presented many challenges including proximity to nearby faults, oil/water contact, uncertainty in fault conductivities, permeability, and anisotropy.