... characterizing geophysics interpretation international conference kwiatkowski john wiley society wallet recognition marfurt proceedings Second International Meeting for Applied Geoscience & Energy 10.1190/image2022-3739025.1 © 2022 Society of Exploration Geophysicists and the American Association...

...Fault recognition in a fractured-vuggy reservoir attributes. The application effectively determines the fractured-vuggy recognition mode, clearly describes the Li Zongjie, Sinopec Northwest Oilfield Branch spatial distribution of strike-slip faults, and finely describes the development...

... strategy with the joint input is applied to a Brazilian pre-salt reservoir, showing an improvement in the recognition of the architectural elements, when compared with a single narrow azimuth input or classical approaches. reservoir characterization structural geology machine learning deep...

... Seismic attributes represent a powerful tool to improve the identification of geological elements in the subsurface. The recognition of faults and fractures commonly includes geometric attributes. This study compares the response of the energy-ratio similarity (ERS) attribute calculated from...

..., and is therefore being applied to more datasets on our ongoing exploration projects. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 9:20 AM Presentation Time: 9:20 AM Location: Poster Station 1 Presentation Type: Poster artificial intelligence recognition salt zone machine learning...

... as to improve the accuracy of identifying sedimentary microfacies. The application of practical data turns out that the proposed method can be an effective tool for sedimentary microfacies recognition from logging data. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 9:20 AM Presentation...

... interface of the near surface low-velocity zone, so that it might be contributed to the field data process of near surface velocity modeling. With the image recognition technology based on machine learning becoming mature, the question about whether low-frequency noise can be "re-used" for the recognition...

... exposition reservoir characterization apparent dip field dataset artificial intelligence recognition marfurt estimation Pham , N. , S. Fomel , and D. Dunlap , 2018 , Automatic channel detection using deep learning : 88th Annual International Meeting, SEG ,Expanded Abstracts, 2026...

... ABSTRACT Seismic signal recognition can serve as a powerful auxiliary tool for analyzing and processing ever-larger volumes of seismic data. It can facilitate many subsequent procedures such as first-break picking, statics correction, denoising, signal detection, events tracking, structural...

... in the seismic data. Since seismic datasets are typically very large, we develop an automated shingling recognition scheme by applying an unsupervised machine learning method in which the machine learning task is to infer a function to describe a hidden structure from "unlabeled" data. We test our approach...

... detection of dissolved caves, which has been emphasized in recent years. One step further is to utilize weak diffraction energy for fault system recognition. Two more issues are involved here when using diffraction imaging dataset: It is found that weak diffractions may cast some new lights on reservoir...

... subseismic data is the easiest and most visualized tool for minor faults recognition in map views. The decomposed high frequency subseismic data with the optimal fractional Gabor transform is much easier for minor faults interpretation than using the original seismic data. Presentation Date: Wednesday...

... model recognition interlayer reservoir annual meeting reservoir show physical modeling fluid property attenuation Calvet , M. , M. Sylvander , L. Margerin , and A. Villaseñor , 2013 , Spatial variations of seismic attenuation and heterogeneity in the Pyrenees...

...Recognition of intra-basaltic horizons from challenging marine seismic data in the Faroe Islands Hilmar Simonsen*, The University of the Faroe Islands, and Egon Nørmark, The University of Aarhus Summary High-resolution 2D marine reflection seismic data were acquired in a narrow sound in shallow...

... known to happen as the evening wears on), the ability to separate is still powerful. Perhaps even more interesting is the ability to tune out the boor standing right next to you. This early paper led the way for today s understanding and technology in speech recognition. According to a 1992 MIT Media...

... seismic data correction wide angle seismic imaging wave field seismic signal imaging reservoir characterization upstream oil & gas sub basalt characteristic wide-angle seismic imaging basalt recognition wide angle reflection high velocity sub basalt seismic imaging noise Wide-angle...

... Summary We adopt a traveltime tomography method that is able to reliably determine velocity-interface depth model for a VSP dataset from Vinton Dome, an oil field in southwest Louisiana. While VSP data is useful to providing depth control and recognition or multiples, the lack of crossing...

... ABSTRACT No preview is available for this paper. real seismic data kou-yuan huang national chiao tung university real seismic data artificial intelligence testing seismic pattern output node robust recognition neural network upstream oil & gas reservoir characterization...

... morphostructural node machine learning reservoir characterization recognition lineament oil gas exploration oil field upstream oil & gas risk reduction node discovery oil gas field south america probability exploration basin geomorphological analysis gas field earthquake...

... ABSTRACT No preview is available for this paper. seismic texture probability distribution classification recognition neighborhood amplitude reflector seismic data upstream oil & gas computer artificial intelligence correlation variation reservoir characterization...