... ). With calibrated mineral types and contents by XRD, the lithofacies were classified based on the minerals associated with the RCA result. The texture facies were classified by using the image logs texture analysis and core plugs. The pore structure facies were classified by using the NMR T2 distributions, MICP...

... properties but do not provide quantitative estimates of the subsurface uncertainties. The objective of this study was to carry out a facies dependent geostatistical seismic inversion to generate multi-realization reservoir properties to improve the geological understanding of the two adjacent offshore fields...

... In the inner carbonate platform, channelized systems play an important role in reservoir architecture and heterogeneity, thus could be constituted the best productive reservoir facies ( Javaux and Chenot, 2014 ). Grélaud et al., (2010 ) state that there are two types of channelled bodies...

... dependency parametric uncertainty realization ensemble seed number lease boundary uncertain parameter geological modeling Upstream Oil & Gas facies workflow rigorous multi-scenario uncertainty analysis society of petroleum engineers equity percentage machine learning compartment...

... Abstract This paper discusses the use of a novel data-driven method for automated facies classification and characterization of carbonate reservoirs. The approach makes an extensive use of wireline and while drilling electrical borehole image logs and provides a direct and fast recognition...

... petrophysical time volumes in the interval of interest are obtained. Properties are used initially to generate a geological facies model. Subsequently, facies and seismic properties are used for the three-dimensional distribution of petrophysical properties such as: rock type, porosity, clay volume...

... & Gas neural network well logging classification classifier prediction information reservoir rock type facies porosity machine learning Artificial Intelligence geological facies log data SOM society of petroleum engineers petrophysical group permeability rock type reservoir rock...

... philosophy new well water injection facies History Drilling reservoir characterization completion execution redevelopment producer reservoir Introduction This paper presents a comprehensive and practical strategy to redevelop mature fields. The main objective is to support...

... uncertain facies proportion distributions which has been produced by stochastic inversion of seismic information was the way to enrich and ameliorate the method. These proportions have been used as the base of truncation procedure in TGS. In this work we showed how to use geological and geophysical based...

... facies related dolomitization and its selective influence on the reservoir quality enhancements. The framework of the study is based on detailed petrographic examination and description of 850 thin sections, isotopic compositions (C, O, Sr) of selected samples; and fluid inclusion microthermometry...

... as training data to see the relationship between relevant logs (GR, NPHI, RHOB) and facies description. The supervised facies log on the wells was then QC'ed and compared to the original facies. High degree of similarity between original facies and the resulted facies log using Neural Network shows...

... calculation at the interwell areas. Variograms for SGS are calculated using porosity up-scaled logs within each facieses. The integration of well logs, seismic attributes and facies for porosity modeling honors the well logs, the boundary of the facies distribution and lateral seismic attributes through...

... and architectures, mainly stacked channels and distal lobes, were duly identified through the interpretation of seismic sections and amplitude maps. Reservoir modeling consisted of Object-Based and Multi-Point Facies Simulation (MPFS) approaches. A sensitivity analysis was carried out to define critical parameters...

... comprises of packstones and grainstones with thin muddy limestones and dolomitic mudstones interbeded. Oil occupies Sadi B1, Sadi B2 and Sadi B3, no oil occurs in Sadi A. Facies characteristics The petrographic study of the available cores, thin sections of Sadi Formation revealed the occurrence...

... and dynamic modeling can then be used to more accurately calculate OOIP and optimize the current reservoir management plan ensuring optimal sweep efficiency and recovery. machine learning Reservoir Characterization flow in porous media obg facies facies Artificial Intelligence Fluid Dynamics...

... Abstract Carbonate reservoir characterization is often a complex task, due to the interplay between primary processes (e.g. depositional environments, facies changes) and secondary processes (e.g. burial, diagenesis, faulting and fracturing, cementation). In order to properly characterize...

..., geologically-driven and derived from the relationships between karst, depositional facies, and proximity to fault/fracture zones. In addition to the initial depositional model, three diagenetic phases and bitumen deposits are modeled successively in order to restore the complex spatial relationship existing...

... are correlated to the sedimentology-stratigrahy model as to give us the most appropriate arrangements of wells and to relocate locations which could have given less production than expected. The facies for each of the environment of deposition identified in every producing reservoir of the formation...

... (reservoir is seismically tuned) and a high resolution training image produces geologically realistic reservoir facies geometries. It is shown that it is convenient to use the reservoir grid as a training image, which is an efficient way in order to achieve a reliable correlation between facies...

... . The approach consists in: 1) building a fine scale grid whose size is consistent with the well test investigation radius, 2) populating the grid with facies and petrophysical characteristics observed at the well, and 3) up-scaling the fine scale grid so as to compare the upscaled anisotropy ratio K v /K h...