... there are no such measurements. GAM is an advanced regression fitting technique which produces robust results and a high R-square ratio. We also enhanced grain size interpolation by implementing a hybrid model which also considers lithology in each well interval. upstream oil & gas united states government...

... geometry hydrocarbon containment international accumulation structural geology petroleum play type stratigraphy ssi lateral quantitative evaluation analogue lithology applied geoscience seal strength index Quantitative Evaluation of Hydrocarbon Containment using Seal Strength Index (SSI...

... dimension ranges from 10 m to 120 m. Distributary channel complexes grade into sheet-sandstone lobes that are more than 100 m thick on the basin floor. Four types of lithology are identified within the siltstone unit, including siltstone, limestone, dolomized limestone, and mudstone. Considering different...

... Seismic lithologic information (sand thickness, net-gross ratio, etc.) is useful for stratigraphic and sedimentological study in a large survey. Machine learning (ML) makes it possible to gain the information in a fast and affordable way. However, facies-induced bias is a significant obstacle...

... mexico mississippi delta society software sediment north america government gulf international offshore co 2 lithology Developing a representative model for offshore CO2 storage in the Gulf of Mexico continental shelf Lars W. Koehn*, Brian W. Romans, and Ryan M. Pollyea, Department...

... learning machine learning american association neural network dataset applied geoscience architecture artificial intelligence lithology arxiv petrographic dataset arxiv preprint conference reservoir characterization exploration geophysicist factorization adversarial network society...

... siltstones, and silty limestones. We used seismic-derived elastic properties, Pimpedance and S-impedance, to create lithology/rock type probability volumes and generate classification volumes to constrain three-dimensional lithology and rock-type models that illustrate the spatial distribution of properties...

... in the basement terrains of southern Sinai, Egypt. The Weighted Overlay Model (WOM) was used to map potential recharge locations using six input layers: surface lithology, rainfall, slope, stream density, fault density, and fault intersection. These factors are known to have significant impacts on recharge rates...

... Eagle Ford Shale have transformed our understanding of the heterogeneity of mudstone lithologies both stratigraphically and laterally (Percy and Pedersen, 2020). While such observations have significantly impacted our accepted interpretations of depositional environments and sequence stratigraphic...

... predictive geologic maps at 1:100,000 scale. structural geology machine learning ferreira mapping automatization upstream oil & gas reservoir characterization lithology geologic mapping predictive geological mapping rafael pire exploration geophysicist applied geoscience artificial...

... for allochthonous basinal marine carbonates and three for differing marine shale lithologies. Based on each group’s petrophysical characteristics, the three shale groupings represent excellent, good, and poor reservoir qualities with the excellent quality group having high gamma ray responses coupled...

... Rock lithology identification and quantification is today a fundamental task of reservoir characterization, it is performed in real-time using drilled cuttings to have a very first insight of drilled formation, to take real-time decision and hence to build up a geological model of the reservoir...

... logging machine learning ava inversion lithology siliceous shale bayesian inference reservoir geomechanics porosity exploration geophysicist applied geoscience international Unconventional reservoirs are generally found to be primarily heterogeneous and with complex minerology. Variations...

... inversion inversion ei-43deg seismic inversion initial model western desert reservoir characterization optimizing elastic impedance inversion sand prediction exploration geophysicist 10 upstream oil & gas egypt ei-43deg target sand sand body lithology Optimizing Elastic Impedance...

... rock physics workflow was used to tie the well data to the seismic data in the AOI. Three distinct methods were used to identify the reservoir rock properties from the well data. After applying the results to seismic, the lithology results were mapped and used to aid in the interpretation...

... international conference exploration geophysicist 10 non-linear inversion case study inversion lithology The value of PS seismic and non-linear inversion for reservoir characterization: Oseberg South North Sea case study Thomas Barling*, James Butt, Maria Shadrina, Andrea Paxton and Claudio Leone...

.... Moreover, it has been demonstrated that joint inversion of elastic parameters and lithology relaxes the seismic inversion dependency on the low-frequency model prior. Compared to Pp prestack AVA inversion, joint Pp-Ps prestack inversion can provide a more accurate estimate of VP/VS ratio and density...

... Since the mid 1980’s, amplitude versus offset (AVO) data have been used by earth scientists to help in the prediction of lithology using seismic data. Although previous work has greatly aided in our ability to interpret AVO data, the AVO response cannot be easily visualized with respect...

.../deep learning algorithms to build a rock physics relationship between The assumptions made in rock physics theories introduce mineral/lithology composition, porosity, water saturation, many uncertainties into conventional rock physics modeling pressure, density, and P- and S-wave velocity. To evaluate...

... This paper presents a case study for lithology prediction of the Wara Formation in Kuwait, using the prestack geostatistical inversion technique. The main objectives were to discriminate sand from shale, and to identify thin sand layers within Wara Formation. Petrophysical analysis and rock...