... To improve the accuracy of carbonate reservoir modeling, mainly well data such as core, thin section and well logging data had been adopted in conventional methods. Although the reservoir types classification is very detailed, but it is usually difficult to integrate with seismic data to make 3D...

... facies-controlled seismic inversion residual p-impedance inversion heterogeneity ultra-deep carbonate fracture-cavity reservoir geological subdiscipline carbonate reservoir characteristic reservoir characterization contour research tensor constraint exploration geophysicist american...

... ultra-deep fracture-cavity carbonate reservoirs with complicated fault-karst system. geologist deep learning upstream oil & gas neural network reservoir characterization seismic model geology china government impedance identification mechanism international reservoir identification...

... energy 10 modeling exploration geophysicist carbonate reservoir changxing formation society reef environment interpretation applied geoscience geological modeling integrated modeling Applying forward stratigraphic modeling to enhance understanding of depositional evolution of ancient...

... Ultra-deep carbonate reservoirs buried more than 7000 m, and the matrix has no effective reservoir space in the northwestern margin of Tarim Basin. Strike-slip fault-related fractures and cavities are the primary reservoir space and control fluid migration. In this study, using outcrops, thin...

... Nearly half of the world’s oil and gas reserves are contained within carbonate reservoirs. Quantitative reservoir de-risking using seismic is often considered to be infeasible in comparison to conventional siliciclastic reservoir characterization where porosity and fluid properties are regular...

... recovery carbonate reservoir enhanced recovery imbibition exploration geophysicist mixed-wet carbonate composition upstream oil & gas reservoir characterization microporosity american association microscopy complex reservoir carbonate yutkin applied geoscience saad hassan...

... was used to quantitatively identify the 3176m carbonate reservoir, automatically count the development thickness and distribution range of reservoir classification, which clarified the reservoir vertical structure and distribution around the wellbore. The “Data-Feature-Policy” solution has the advantages...

... This work is about machine learning (ML) unsupervised clustering algorithms such as Self Organizing Maps (SOM), Generative Topographic Maps (GTM) and K-means application on seismic multi-attributes to quickly detect high productivity (based on well drill stem test data-DST) carbonate reservoirs...

... a practical method to predict shear logs from other wireline logs using deep learning on a big data set for a carbonate reservoir. upstream oil & gas prediction exploration geophysicist artificial intelligence carbonate reservoir applied geoscience neural network geophysics table 1 deep...

... and VSP Q-analysis to help in viscoacoustic forward modeling and to validate the use of it for more efficient gas characterization. carbonate reservoir saudi arabia government frequency complex reservoir saudi aramco asia government attenuation applied geoscience american association...

...-scale deeply buried fractured-vuggy carbonate reservoirs. The method was applied to the research area of 76 km 2 . The conventional logging data of 23 wells had been used to recognize collapsed breccias, sedimentary fillings, etc. Based on high resolution seismic data, a wide range of interlayer...

... conductivity revil sip spectra carbonate reservoir reservoir characterization exploration geophysicist quadrature conductivity upstream oil & gas polarization american association salinity equation integration permeability energy 10 society complex reservoir international...

... Pre-salt carbonate reservoir characterization from seismic data is critical for hydrocarbon exploration to assist assessment processes of a prospect. It has been challenging for geoscientists to extract relevant information from seismic data to characterize reservoir presence (RP) and reservoir...

... To improve the accuracy of carbonate reservoir property prediction, well data such as core, thin section and well logging data had been mainly adopted conventionally. Although the reservoir classification in term of property is determined, but it is generally difficult to realize 3D prediction...

... structural geology machine learning artificial intelligence information soulution enhance carbonate reservoir reservoir characteristic identification upstream oil & gas reservoir characterization geology-geophysics-data mining exploration geophysicist american association...

... The purpose of this work is to improve the characterization of the presalt carbonate reservoirs of the Búzios Field, Brazilian offshore, through the application of seismic attributes and unsupervised machine learning techniques. The methodology relied on the application of structural...

... geoscience transducer carbonate reservoir simulation chaves fm american association tensor sergipe-alagoas basin society brazil Comparative analysis between laboratory measurement and numerical simulation to evaluate anisotropy in Coquinas from Morro do Chaves Fm. A Brazilian pre-salt analog...

... Carbonate reservoirs have complex pore structures, which significantly alter the elastic properties and seismic responses, and affect the accuracy of physical parameter estimations. However, the existing rock-physics inversion methods are mainly used for clastic rocks, and their objectivities...

... Carbonate reservoirs with varied depositional environments and diagenetic processes have assorted mineral composition and diverse pore structures, making it difficult to investigate the correlation between pressure and elastic velocity. The pressure-velocity relationship is influenced...