Case Study
A New Prestack Maximum Likelihood Inversion of Gathers and Stochastic Refinements to Study Ultrathin Oil- saturated Reservoirs
A New Prestack Maximum Likelihood Inversion of Gathers and Stochastic Refinements to Study Ultrathin Oil- saturated Reservoirs
www.pdgm.com The Challenge A joint team of scientists from Paradigm Moscow and its client RUP PO Belorusneft tried a new, fully synchronous pre-stack inversion of gathers based on the maximum likelihood algorithm (PMLI-inversion) followed by refinement of the inversion results using stochastic methods. The purpose of the project was to study ultrafine oil-saturated carbonate reservoirs located at great depths of 4-5 km in a deposit in Bela