Three well - known source rocks of the Zagros basin and the Persian Gulf are Mesozoic in age.The Jurassic Sargelu, Albian Kazhdumi and Neocomian-Coniacian Garau formations have charged the Cretaceous reservoirs of this area. The northwest part of the Persian Gulf is strongly influenced by two major N-S trending paleohighs (Hendijan- Bahregansar-Regesafid-Izeh and Kharge- Mish) and surrounding p...

Integration of data from fully cored stratigraphic holes with an extensive grid of seismic reflection lines in McMurdo Sound, Antarctica, has allowed the formulation of a new model for the evolution of the Cenozoic Victoria Land Basin of the West Antarctic Rift. The Early Rift phase (Eocene to Early Oligocene) is recorded by wedges of strata confined by early extensional faults, and which conta...

Stationarity of the random function is the key property of stochastic models to the extent that wrong hypotheses could lead to very unrealistic reservoir modeling for flow simulations. When non stationarity is suspected at the scale of the domain to be modeled, geologists usually propose either geological drift or seismic attributes to constrain stochastic models. However, in both cases, confid...

The model of geological evolution an interarc basin, which is the north-east ending Mid Kuril trough located on continental slope Kuril-Kamchatka trench, was constructed. Seismic facies analysis first applied to define sedimentation conditions in a deep water trench. based 2D CDP reflection seismic data obtained by Dalmorneftegeophysica JSC 2014. According modeling results, basin began form Lat...

Introduction And Geologic Overview The Upper Jurassic (Oxfordian) Smackover Formation is a stratigraphically complex carbonate formation, and a major producer of hydrocarbons in the northeastern Gulf of Mexico (Baria et al., 1982; Salvador, 1991). The main reservoir facies in the Smackover Formation are the microbial reefs, which were formed in a gently sloping to distally steepened carbonate r...

The seismic response of geological reservoirs is a function the elastic properties porous rocks, which depends on rock types, petrophysical features, and environments. Such characteristics are generally classified into facies. We propose to use convolutional neural networks in Bayesian framework predict facies based data quantify uncertainty classification. A variational approach adopted approx...