... artificial intelligence machine learning complex reservoir well logging machine learning-driven rock classification fracture initiation optimize completion shale gas reservoir characterization algorithm hydraulic fracturing design interpretation log analysis exploration geophysicist applied...

... Conceptual facies models are vital for making sedimentologic and stratigraphic interpretations in data poor settings. The Panther Tongue Sandstone (PT) of Central Utah has been cited as a type example for river-dominated deltaic depositional systems since the 1990’s. However, several significant...

... porosity university american association parasequence 3 lithology exploration geophysicist applied geoscience international parasequence variability siltstone strata anadarko basin saturation unconventional mississippian reservoir interpretation Multiscale Characterization...

... Subsurface structural interpretation is critical to developing geothermal reservoirs, including the heat flow anomalies as well as the risk of induced seismicity. We utilized the 3D seismic data, three wells with conventional wireline logs, and wellbore temperature data to characterize...

... overhangs poses tremendous challenges to subsalt imaging, especially when the input data is suboptimal. Legacy images of streamer data from conventional velocity model building (VMB) driven primarily by manual salt interpretation, which could not systematically address the complicated overburden, show...

... interpretation american association differential seismic llc fulmar johnston exxonmobil field simulation international presented applied geoscience energy 10 4D seismic An early history and a personal journey David H. Johnston, Differential Seismic LLC (formerly ExxonMobil) Summary...

...- Frequency Electromagnetic), well and seismic joint modeling and the rhythm changes of the resistivity for volcanic reservoir interpretation are studied, which effectively improved the depth resolution and the recognition ability of the reservoir. The research and application in LH area of Bohai Bay Basin...

... manual interpretation techniques alone. These technologies are typically of limited use when input data is of poor quality, often the case in structurally complex regions. Structural modelling techniques provide reliable, empirical approaches for supplementing incomplete or poor data to improve...

... on the quantification of critical uncertainties that impact field development. In the following we discuss workflows to address two of such uncertainties; field-wide ranges of gross rock volume (GRV) and bulk porosity. Fundamental inputs include a comprehensive velocity model, and the structural interpretation...

... network of 25 high-frequency keywords is generated, from which absolute frequencies can be directly observed. Then keywords are classified into four clusters, which cover interpretation, rock physics, acquisition, and non-seismic methods. The clusters present the research focus of exploration geophysics...

... geophysicist artificial intelligence facies international society brazil american association waveform inversion efwi figure interpretation impedance interpreter upstream oil & gas seismic model frequency applied geoscience energy 10 lsrtm Facies based inversion through integrating...

... to be apply regionally with the objectives being to evaluate the use of all data (seismic and wells) for an adequate capacity and containment assessment. subsurface storage interpretation workflow assessment international exploration geophysicist upstream oil & gas reservoir characterization...

... which supported merging the two datasets. Additionally, a poor data zone exists to the north of the field due to a salt overhang. We performed an extensive post-migration gather conditioning workflow to further improve image fidelity for better fault interpretation and reservoir definition. Additionally...

... the interpretability of the model. We apply the algorithm to a poststack data set generated using the CGG Hampson-Russell software. After conducting network training using a small number of data points, the network is applied to the rest of the data to calculate the model parameters. The developed approach has...

... as a fully automatic facies predictor rather than a baseline interpretation tool. neural network prediction deep learning machine learning upstream oil & gas artificial intelligence facies international american association exploration geophysicist dataset reservoir characterization...

... geology brook range applied geoscience society interpretation international north slope modeling alaska connectivity energy 10 nanushuk facies Outcrop Analysis and 3-D Modeling for Predicting Subsurface Facies Distributions and Architecture of the Nanushuk Formation on the North Slope...

... We present a case study demonstrating the value of using a unified approach to seismic signal processing, velocity modeling, imaging and seismic quantitative interpretation (QI) to obtain high-resolution interpretation volumes with reduced uncertainties. The workflow presented focuses...

... transition. Originally seismic data was used for structural interpretation of geological structures and for stratigraphic interpretation based on migrated seismic amplitudes. For more than three decades now seismic inversion techniques also allow the derivation of elastic property models from seismic data...

... image to highlight features on which the neural network-based its decision-making, introducing an interpretability tool to the method. Our findings show that pretrained CNNs can successfully learn feature representations in carbonate rock thin sections, achieving training F1 scores of over 90%. However...

... Andres and overlying Grayburg formations on the eastern margin of the Central Basin Platform and southwestern Midland Basin consist of high-frequency upward-shoaling cycles of shelf margin to basinal carbonates punctuated by channel deposits.We interpret the lithology, depositional history...