This paper presents a novel Bayesian-based method for predicting brittleness. The involves synthesizing petrophysical data from multiple well cores to establish joint Gaussian distribution function shale facies and non-shale facies. Furthermore, Bayesian classification is applied seismic data. proposed combines with Rickman brittleness obtain new index. are utilized enhance the differentiation ...

During Phase 1 of the Weyburn Project (2000-2004), 4D reflection seismic data were used to map CO2 migration within the Midale reservoir, while an extensive fluid sampling program documented the geochemical evolution triggered by CO2-brine-oilmineral interactions. The aim of this task (3b.11) is to exploit these existing seismic and geochemical data sets, augmented by CO2/H2O injection and HC/H...

The Oligo-miocene Asmari formation is one of the most important hydrocarbon reservoirs in the southwest of Iran. In order to evaluate reservoir quality and the factors controlling reservoir properties, detailed geological and petrophysical studies were carried out on 242 m of core samples from Asmari reservoir. This study is a part of a larger project that examines depositional history and rese...

Aquifer systems are considered in which measurements of logpermeability (Y) at a 1E-2 m support scale are unimodally distributed as taken within the 1E0 to 1E1 m scale of individual sand and gravel (sg) lithofacies, are weakly multimodal at the 1E1 to 1E2 m scale of assemblages of these facies, and are strongly multimodal at the 1E3 m scale of complexes of sg facies assemblages juxtaposed with ...

Abstract Shale-rich reservoirs present a long-standing challenge for reservoir geologists because the clay minerals often induce large-scale heterogeneity in pore system. This work aims to understand impact of distribution and mineralogy which would enhance predictability best facies. We integrate seismic, well-log datasets investigate petrophysical characteristics clay-rich Cenomanian Clastics...

A new approach is presented for inverse modeling to reconstruct continuous features in space, such as channels, that exhibit sparseness in a complementary basis (e.g. a Fourier basis) using observations in spatial domain. Continuity in space is used to constrain the solution to be sparse in the discrete cosine transform (DCT) domain. The DCT is used to effectively reduce the dimension of the se...