... american association identification mudstone workflow illinois basin decatur project applied geoscience international well logging machine learning application artificial intelligence formation micro imager detection reservoir characterization machine learning-based workflow exploration...

.... The encouraging WEB-AVO results demonstrated that 2D surveys could be included in CO 2 -monitoring programs as a cost-effective method. upstream oil & gas sedimentary rock geologist subsurface storage log analysis climate change international compressibility energy 10 geology well logging...

..., and the uncertainty is larger. geologist artificial intelligence machine learning upstream oil & gas well logging geological subdiscipline geology log analysis prediction exploration geophysicist ml algorithm american association energy 10 applied geoscience summary estimation reservoir...

... Currently, inversion techniques are being applied to well logging data, particularly from Ultra-deep Azimuth Resistivity electromagnetic tools, which are sensible to variations in conductivity at distances of tens of meters from the well-bore. In this case, any inversion program that uses...

... acquisition, management, and processing, as well as for improved interpretation of 4D ERT data. upstream oil & gas log analysis subsurface insight europe government reservoir characterization geologist well logging geological subdiscipline geology ert monitoring applied geoscience...

... international well logging reservoir characterization east china estimation exploration geophysicist applied geoscience stochastic inversion algorithm inversion algorithm china university american association energy 10 log analysis constituent mineral jiajia zhang petroleum iteration...

... patterns and regional facies trends and establish a basis for recognizing similar features in the subsurface using widely available wireline log and mudlog datasets. upstream oil & gas sedimentary rock geologist geology well logging geological subdiscipline rock type stratigraphy montoya...

... intervals such as in shallow sedimentary sections. upstream oil & gas geologist clastic rock united states government mudrock well logging prediction reservoir characterization mudstone rock type log analysis machine learning sedimentary rock structural geology artificial...

.... Reservoir evaluation via well logging requires manual classification based on logging data. Machine learning can solve this issue by discovering new rules, presenting tremendous potential for growth. Our study aims to categorize reservoirs by the reservoir quality index (RQI) and the pore geometry...

... migration method suitable for well logging observation systems, which is used to localize reflected waves and converge diffracted waves. Finally, two examples demonstrate that the method proposed in this article can identify and evaluate the reservoir boundaries and fracture development within 50m radially...

... geophysicist upstream oil & gas well logging reservoir characterization ogunbo applied geoscience american association isung corporation gpr time-lapse electromagnetic bookpurnong irrigation district south korea summary Time-lapse electromagnetic with Gramian Jide Nosakare Ogunbo*, Sang-Wook...

... sedimentary rock clastic rock artificial intelligence reservoir geomechanics exploration geophysicist coefficient international geologist united states government porosity geology well logging reservoir characterization geologic information multivariate linear regression castagna...

... an ecosystem-scale coastal forest flooding experiment. upstream oil & gas well logging experiment multi-salinity experiment geologist conductivity geological subdiscipline timestep geology log analysis imaginary conductivity exploration geophysicist applied geoscience polarization...

... that model’s range of applicability to higher clay contents. sedimentary rock sedimentology well logging geologist rock type log analysis porosity upstream oil & gas sedimentary geology reservoir characterization cementation shale exploration geophysicist shaley sandstone society...

... of fractures on the amplitude of P-wave and S-wave in acoustic well logging data, and found that the amplitude of S-wave is easily affected by horizontal fractures, while the amplitude of P-wave is not affected. Zlatev et al. (1988) used physical experiments to simulate the propagation process of S-waves along...

... and their distribution using a combination of rock physics analysis and prestack seismic inversion techniques and attribute analysis (acoustic impedance and Vp/Vs). upstream oil & gas sedimentology sedimentary geology sedimentary rock structural geology rock type well logging clastic rock mudrock...

... We propose a joint data- and physics-model-driven fullwaveform inversion (FWI) method based on semisupervised learning framework, which uses well-logging data, pseudo labels produced from conventional FWI and common mid-point (CMP) gathers to train neural network. Neural network builds mapping...

... geologist inversion drilling data acquisition lwd well logging petroleum geology log analysis upstream oil & gas logging while drilling drilling measurement misfit matrix equation economic geology international american association occam society configuration adaptive...

... government china government log analysis reservoir characterization assumption prediction geological subdiscipline pore geologist mineral well logging modeling resistivity variation american association oblate pore shear modulus exploration geophysicist applied geoscience crossplot...

... characterization well logging drilling measurement economic geology log analysis production control real time system american association applied geoscience variation society energy 10 brookian formation summary drilling data acquisition reservoir characterization t2-distribution drilling...