Spatial Uncertainty in Pore Pressure Models at the Brazilian Continental Margin

Abstract Accurate pore pressure models in wells are essential for ensuring the lowest cost and operational safety during exploration/development projects. This modeling requires integration of several sources information such as well data, formation tests, geophysical logs, mud weight, geological models, seismic geothermal sedimentation rate modeling. An empirical relationship between overpressure compressional wave velocity is commonly applied to model pressure. deterministic approach does not allow uncertainty quantification ignores other variables related paper presents a case study with real data evaluate quantify spatial uncertainty. The exhaustive secondary variable came from combination models. methodology uses Sequential Gaussian Cosimulation Intrinsic Collocated Cokriging. results demonstrate usefulness applicability workflow proposed.