Production Diagnostics with Time Lapse Geochemistry

Yishu Song, Eric Michael

Unconventional Resources Technology Conference (URTEC)

.... Convolution neural network model was developed with TensorFlow for dynamic production performance predictions. Machine learning model details...

Exploring La Luna Formation Unconventional Plays in the Maracaibo Lake Basin, Through 3D Modeling Based on Acoustic Seismic Inversion

Jose Mendez, Carlos Lobo, Ronny Movil, Carlos Alcantara, Luis Yegres, James Brown

Unconventional Resources Technology Conference (URTEC)

.... The synthetic logs were computed from sonic (DT) and bulk density logs (RHOB). After the convolution model estimation, the synthetic traces were created from...

Geometry and Internal Characteristics of Archaean Submarine Channel Deposits, Pilbara Block, Western Australia

Kenneth A. Eriksson

Journal of Sedimentary Research (SEPM)

... Group south of Pilgangoora. End_Page 387------------------------ cm thick. These display intense convolution in the form of large-scale ball...

Bedding Types in Holocene Tidal Channel Sequences, Knik Arm, Upper Cook Inlet, Alaska

Susan Bartsch-Winkler , Henry R. Schmoll

Journal of Sedimentary Research (SEPM)

... have been distinguished by measuring the maximum visible convolution dimension (in most cases, height--that is, the structural relief on a given bed...

A cross-shape deep Boltzmann machine for petrophysical seismic inversion

Son Dang Phan and Mrinal K. Sen

AAPG Bulletin

... properties such as P-impedance, S-impedance, and density. The inverse problem comprises (1) a forward problem, which uses a convolution model between...

ABSTRACT: Sedimentation from Jets: A Depositional Model for Clastic Deposits of all Scales and Environments; #90013 (2003)

D. C. J. D. Hoyal, J. C. Van Wagoner, N. L. Adair, M. Deffenbaugh, D. Li, T. Sun, C. Huh, D. E. Giffin

Search and Discovery.com

... in the jet region follows a power law, the grain-size decay is exponential-linear in the downstream direction due to convolution of the jet velocity field...

Abstract: A study of Spectral Broadening Methods for Multicomponent Data; #90174 (2014)

Chuck Ursenbach, Peter Cary, and Mike Perz

Search and Discovery.com

... of opposite sign, located at 0.3367 s and 0.3567 s. b) The green line from Part a displayed together with a convolution of the reflectivity with a Ricker...

Fractured Reservoir Prediction … A Case Study in the Sichuan Basin; #10512 (2013)

Ling Yun, Xiangyu Guo, Qianggong Song, and Weisheng He

Search and Discovery.com

... convolution and phase processing Uphole data +shallow refractions + 3D Tomo-inversion statics Field statics Velocity analysis: 1. VSP-surface V analysis 2...

Sedimentation from Jets: A Depositional Model for Clastic Deposits of all Scales and Environments, by D.C.J.D. Hoyal, J.C. Van Wagoner, N.L. Adair, M. Deffenbaugh, D. Li, T. Sun, C. Huh, and D.E. Giffin, Search and Discovery Article #40082 (2003).

Search and Discovery.com

Geophysical Corner Articles from September 1996 – present, Compiled

Search and Discovery.com

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...