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Probabilistic Reserves Estimation with Gaussian DCA (Wolfcamp Shale)
Gaussian benchmarked physics-based DCA against Arps on two Wolfcamp wells, reducing residual squared error by 99.99% and 98.35%, respectively. It generated 40-year oil EURs of 201 and 340 Mbbl and used field-calibrated diffusivity distributions to quantify reserve uncertainty.
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Shale well performance optimization using Gaussian to improve production, history matching, and fracture design decisions
Gaussian showed that completion design choices in shales matter: 30-ft fracture spacing delivered ~70,000 bbl more than 100-ft spacing over 3,000 days, while higher-conductivity proppant increased cumulative production from ~170,000 to ~230,000 bbl.
Basin: Wolfcamp
Unconventional (shale)