Geophysical Corner Articles from September 1996 – present, Compiled

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Extended Abstract: Water Influx Predictions in Reservoirs with Aquifer Drive Using the Two-Phase Reservoir Integral Type Pseudo-Pressure with Applicability in Gas Hydrate Reservoirs

Melvin Kome, Mohd Amro

Africa Energy and Technology Conference, 2016

... ɳw ∂r )] r ∂r = (ρw ∅A cT,w ) appropriate approach would be convolution of this parameter. ∂p However, due to the lack of information on the dependence ...

Shallow to Deep Water Facies Development in the Dimple Limestone (Lower Pennsylvanian), Marathon Region, Texas

Alan F. Thomson, M. Ray Thomasson

Special Publications of SEPM

... It CROSS LAMINATION FESTOON CONVOLUTION LOAD CAST PEBBLES CHERT FOSSILS e OOLITHS CRINOIDS G 120 0 X FIG 4 Representati ve section of rocks...

HIGH-PRECISION ALGORITHM FOR GRAIN SEGMENTATION OF THIN SECTIONS BY MULTI-ANGLE OPTICAL-MICROSCOPIC IMAGES

Timur Murtazin, Zufar Kayumov, Vladimir Morozov, Radik Akhmetov, Anton Kolchugin, Dmitrii Tumakov, Danis Nurgaliev, Vladislav Sudakov

Journal of Sedimentary Research (SEPM)

...., 2020a, Convolution neural network learning features for handwritten digit recognition: Institute of Electrical and Electronics Engineers, East–West Design...

Cardium Formation 8. Facies and Environments of the Cardium Shoreline and Coastal Plain in the Kakwa Field and Adjacent Areas, Northwestern Alberta

A. Guy Plint,, Roger G. Walker

CSPG Bulletin

..., microfaults and convolution (Fig. 16). The latter affects up to 1.8 m of strata and may be so intense as to completely destroy the primary laminae (Fig. 17...

Geology of the Northern Portion of the Simons' Ranch Anticline, Crook County, Wyoming, with Special Reference to the Depositional History of the Upper Minnelusa Formation (Permian, Wolfcampian)

James E. Martin, A. Glenn Motes III, James E. Fox

Wyoming Geological Association

... exhibit penecontemporaneous convolution. Diagenetic features include solution collapse, nodular weathered surfaces, and the occurrence of petroleum...

Embedding Physical Flow Functions into Deep Learning Predictive Models for Improved Production Forecasting

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour

Unconventional Resources Technology Conference (URTEC)

...me axis) to obtain a reconstruction of 𝐝 𝑠𝑖𝑚 . To describe the one-dimensional convolution operation, let 𝐘 ∈ 𝑅 𝑁 𝑏 ×𝑁 𝑛 ×𝑁 𝑘 be the arbitrary...

Incorporating Artificial Intelligence into Traditional Exploration Workflows in the Cooper-Eromanga Basin, South Australia

H. M. Garcia, W. G. "Woody" Leel Jr., M. Riehle, P. Szafian

International Meeting for Applied Geoscience and Energy (IMAGE)

... color blends can be combined with the faults detected by the convolution neural network. This allowed us to define the compartments delineated...

Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion

Sagar Singh, Yu Zhang, David Thanoon, Pandu Devarakota, Long Jin, Ilya Tsvankin

International Meeting for Applied Geoscience and Energy (IMAGE)

..., the second dimension is unity. The “stride” represents the number of rows/columns in the filter shifts over the input matrix while applying the convolution...

Refining our understanding of the subsurface geology using deep learning techniques

Salma Alsinan, Philippe Nivlet, Hamad Alghenaim

International Meeting for Applied Geoscience and Energy (IMAGE)

... to reduce interpretation risk: Cambridge University Press. Chen, L., G. Papandreou, F. Schroff, and H. Adam, 2017, Rethinking atrous convolution for semantic...

Seismic speckle as multiplicative noise explaining land reflections distorted by near-surface scattering

Andrey Bakulin, Dmitry Neklyudov, Ilya Silvestrov

International Meeting for Applied Geoscience and Energy (IMAGE)

... with some random parameters, 𝑛 𝑡 is additive random noise, “*” means convolution, k=1,…,K (K is a number of the channels). In the Fourier domain (1...

Robust joint inversion and segmentation of 4D seismic data

Juan Romero, Matteo Ravasi, Nick Luiken

International Meeting for Applied Geoscience and Energy (IMAGE)

... the natural logarithm of the acoustic impedance model m from post-stack seismic data d. The modelling operator G is defined as the convolution...

Realistic synthetic data generation using neural style transfer: Application to automatic fault interpretation

Min Jun Park, Joseph Jennings, Bob Clapp, Biondo Biondi

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Schroff, and H. Adam, 2018, Encoder-decoder with atrous separable convolution for semantic image segmentation: Proceedings of the European conference...

Reservoir prediction using graph-regularized deep learning

Kaiheng Sang, Nanying Lan, Fanchang Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... of these explicit formulas are based on strong approximation to the underground media properties, such as convolution model, Aki-Richard approximate...

Moment tensor inversion of perforation shots using distributed acoustic sensing

Milad Bader, Robert G. Clapp, Biondo Biondi

International Meeting for Applied Geoscience and Energy (IMAGE)

... shots in the unconventional reservoir layer. where Gni, j is the jth spatial derivative of Green’s tensor Gni , and ∗ denotes time convolution...

Bringing ML models into mainstream applications by enabling cloud platform connections

Rafael Pinto, Ilya Agurov, Roman Emreis, Iurii Koniaev-Gurchenko, Dmitrii Zolotukhin, Viktar Huleu, Evgeny Shulikin, Andrey Derevyanka, Pavel Shashkin, Maksim Krug, Ivan Grechikhin, Anton Petrov, Simon Shaw, Brian Macy, Chengbo Li, Chuck Mosher, Anand Malgi

International Meeting for Applied Geoscience and Energy (IMAGE)

..., we applied a 1D convolution to the timedomain reflectivity volume using the SEAM project wavelet to create the synthetic seismic data, i.e., our ML...

Characterization of deep volcanic reservoirs using TFEM, well and seismic data in the LH area

Xiaodong Suo, Weibin Dong, Yuezheng Li, Yanling Shi, Zhanjun Yang

International Meeting for Applied Geoscience and Energy (IMAGE)

... into a conventional transpose; "*" represents a convolution operation. Each model parameter vector �� of the TFEM constrained inversion problem...

Mitigating cycle skipping in FWI through preconditioned multidimensional optimal transport

James McLeman, Tim Burgess, Tom Rayment, Victor Chua

International Meeting for Applied Geoscience and Energy (IMAGE)

... of this is that P represents a filter, and its application is efficient since it is simply a convolution with xn. We solve equation (6) using a preconditioned...

Analysis of the impact of demigration on traveltime-based reflection full-waveform inversion

Hong Liang, Houzhu (James) Zhang, Hongwei Liu

International Meeting for Applied Geoscience and Energy (IMAGE)

...e convolution. The traveltime-based RFWI (Ma and Hale, 2013) utilizes a two-step workflow. The first step obtains 𝛿𝐦 through conventional FWI whil...

The generation of equivalent sources by 3D skeletonization of the migration density field

James Brewster

International Meeting for Applied Geoscience and Energy (IMAGE)

... of the array density voxel cells, both the forward modeling and continuation calculations can readily be reduced to discrete convolution operations...

Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment

David W. Eaton, Yuanyuan Ma, Chaoyi Wang, Kelly MacDougall

International Meeting for Applied Geoscience and Energy (IMAGE)

..., 2018). The 1-D convolution kernel size is set to seven data points. Finally, the normalized softmax exponential function is used to set probabilities...

Assessment on the Serviceability of Monopod Platforms in Java Sea Due to Wave Excitation

Gde Pradnyana

Southeast Asia Petroleum Exploration Society (SEAPEX)

..., the structure may also be excited by the higher frequency forces which are associated to the second and third convolution of the wave energy. Such case is known...

AVO-Inversion for Reservoir Characterization of Baturaja Carbonate, Gunung Kembang Field, South Sumatra Basin

Yudi Yanto, Tino Febriwan

Indonesian Petroleum Association

... that expected of the corresponding acoustic impedance profile. A single convolution inversion operator is derived that optimally inverts the data. The spectrum...

High-resolution prestack seismic inversion of reservoir parameters using an arch network

Ting Chen, Yaojun Wang, Yuan Yuan, Gang Yu, Guangmin Hu

International Meeting for Applied Geoscience and Energy (IMAGE)

...), convolution kernel size (Ks), batch size (Bs), input data height (Ih). Table 1 Detailed parameters of our proposed A-Net architecture shown in figure...

Echo phone for direct attenuation indication

Lu Liu, Tong Fei, Fuhao Qin, Yi Luo

International Meeting for Applied Geoscience and Energy (IMAGE)

... extrapolated by two-way wave equation, the notation ∗ represents a time convolution, 𝑢 𝐱 𝐫 , 𝑡; 𝐱 𝐬 is the shot gather from the shot 𝐱 𝐬 to the receiver...