Extracted Pore-Network Model for Shales Characterizing Geometry of Void Space

Da Zheng, Zulfiquar A. Reza

Unconventional Resources Technology Conference (URTEC)

..., it is prohibitively computational-demanding (Oyno et al. 1998). Especially for shale core samples, there are significantly more tiny pores in a given volume compared...

Unravelling Carbonate Reservoirs: Enumerating Porosity from Cores and Well-Logs

Ritesh Mohan Joshi, Kumar Hemant Singh, Ashok Soni

Indonesian Petroleum Association

... or sample. Mercury injection pressure is then increased in a stepwise manner and a recording is done for ‘Rock Pore Volume’ saturated by the mercury...

Deep learning to maximize the value of fast-track 4D seismic processing

Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez

International Meeting for Applied Geoscience and Energy (IMAGE)

.... In addition, we show how real data can be augmented with data from a reservoir simulation volume and used as input for training. We demonstrate...

Multi-Scale Rock Imaging for Reservoir Characterization: A Wolfcamp Case Study

Anyela Morcote, Radompon Sungkorn, Gustavo Carpio, Michael McGroarty, Michael Everts

Unconventional Resources Technology Conference (URTEC)

... smaller ones are unresolved. A rock feature is considered resolved when it is represented, in every direction, by at least two pixels...

Extended Abstract: Applying Machine Learning to Multi-Scale Rock Imaging for Reservoir Characterization: a Wolfcamp Case Study

Bryan Guzman, Anyela Morcote, Radompon Sungkorn, Gustavo Carpio, Michael McGroarty, Michael Everts

Houston Geological Society Bulletin

... are unresolved. A rock feature is considered resolved when it is represented, in every direction, by at least two pixels. Then, the unresolved rock...

Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning

Fan Jiang, Konstantin Osypov

International Meeting for Applied Geoscience and Energy (IMAGE)

...-layer features in latent space using another deep learning framework to generate a single prediction volume containing all the fault details. Compared...

Automated Salt Recognition in 2D Seismic and Mapping Basin-Wide Salt in the Gulf of Mexico, #42367 (2019).

Scott Morris, Tony Dupont, Shuang Li, John D. Grace,

Search and Discovery.com

...” • Estimate optimal threshold to discriminate salt/non-salt pixels – 2-class clustering of Otsu (1979) • Extension of Fisher’s discriminant analysis...

Revealing the genesis of limestone-marl alternations: a taphonomic approach

Theresa Nohl, Emilia Jarochowska, Axel Munnecke

PALAIOS

... ice-volume changes (Desrochers et al. 2010; Elrick et al. 2013). The brachiopod-trilobite coquina-like limestone and marl from the proximal shelf...

Visualizing lateral anisotropy in modern carbonates

Sam J. Purkis, Brigitte Vlaswinkel

AAPG Bulletin

...% overall accuracy. A description of the coral system of the Saipan Lagoon is provided by Riegl et al. (2008). Integers are used to encode pixels...

Inferring total organic carbon and major element geochemical and mineralogical characteristics of shale core from hyperspectral imagery

B. Rivard, N. B. Harris, J. Feng, and T. Dong

AAPG Bulletin

... information about the distribution of porosity and geomechanical properties. Porosity dictates the storage volume available for hydrocarbons and influences...

Structural Observations of the Canning Basin by NOAA-AVHRR Satellite Imagery

P. Wilson, I. J. Tapley, F. R. Honey

Petroleum Exploration Society of Australia (PESA)

... milliradians, resulting in a ground resolution at nadir of 1.1 kms. The scanner oversamples in the crosstrack direction, with the cen• tres of the pixels...

Training data versus deep learning architectures in the seismic fault attribute computation

Bo Zhang, Yitao Pu, Zhaohui Xu, Naihao Liu, Shizhen Li, Fangyu Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... all the faults for a sub-seismic volume whose size is 128 (inlines) by 128 (crosslines) by 128 (time samples). However, interpreting a few key inline...

Tertiary Tectonic Compilation in a GIS for Indonesia

James W. Granath, Janice Christ, Derek Fairhead, William Dickson

Indonesian Petroleum Association

... it, but at least two things are different in the year 2001. Firstly, much of the world is more mature with respect to exploration; the sheer volume...

Collaboration, Integration, and Interpretation Through Immersive Visualization in Exploration and Development

Jun Zhu, Debnath Basu

Indonesian Petroleum Association

... perception system can at any instant pickup 8-9 million pixels and observe from a field of view, including peripheral vision, that typically spans...

Satellite-Based Assessment of Sediment Transport, Distribution and Resuspension Associated with the Atchafalaya River Discharge Plume

Walker, Nan, Roberts, Harry, Stone, Gregory, Bentley, Samuel, Huh, Oscar, Sheremet, Alexandru, Rouse, Larry, Inoue, Masamichi, Welsh, Susan, Hsu, S. A., Myint, Soe

GCAGS Transactions

... (including the Red River flow) carries about 30% of the volume and 50% of the suspended sediment load of the Mississippi River (Mossa and Roberts...

Revisiting Frazier's Subdeltas: Enhancing Datasets with Dimensionality, Better to Understand Geologic Systems

James Flocks

GCAGS Transactions

... coverage areas, contour maps can provide volume information, and descriptive, or interpretative information can supplement analytical measurements...

Wetumpka Impact Structure’s Resurge Chalk Deposits—Insights from X-Ray Computed Tomography

James K. Markin, David T. King Jr.

GCAGS Transactions

... structure, central Alabama: American Association of Petroleum Geologists, Annual Convention and Exhibition Abstracts Volume, Tulsa, Oklahoma...

Towards a Balance of Pore Size Distribution of Non-Conventional Hydrocarbon Reservoirs: a Combination of Bulk Techniques Applied to Comparable Sub-Samples Localized by 3D X-ray µ-Tomography

Natalia Matskova, Dimitri Pret, Stéphane Gaboreau, Philippe Cosenza, R. Brechon, I. Gener, Claire Fialips, G. Dubes, François Gelin

Unconventional Resources Technology Conference (URTEC)

...) 2D slices from 3D volume and Z projection of maximum pixels values displaying the distribution of the heavy grains; c) 3D view of the BS block...

Attention-based self-calibrated convolution neural network for efficient facies classification

Motaz Alfarraj

International Meeting for Applied Geoscience and Energy (IMAGE)

... pixels in the seismic volume. In addition, MCA reports the unweighted average, across all classes, of the per-class pixel accuracy. The averaging in MCA...

Geological risk mapping and prospect evaluation using multivariate and Bayesian statistical methods, western Sverdrup Basin of Canada

Zhuoheng Chen, Kirk G. Osadetz

AAPG Bulletin

... a rectangular array of N pixels of equal size. The pixels are labeled as i = 1, 2,, N. Suppose that there are m subsurface geological maps, m = 1, 2, 3 . At each...

Imaging 3-D fracture networks around boreholes

Haiqing Wu, David D. Pollard

AAPG Bulletin

... resolution (16 pixels/circumference and 2-10 pixels/ft) is still not yet adequate for most fractures. Figure 1. FMI image, 3.3 m (10 ft) in length, shows...

Relationship between mineralogy and porosity in seals relevant to geologic CO2 sequestration

Alexander M. Swift, Lawrence M. Anovitz, Julia M. Sheets, David R. Cole, Susan A. Welch, and Gernot Rother

Environmental Geosciences (DEG)

... from an EDS analysis, particularly for pixels at grain boundaries and within small grains that approach the interaction volume for characteristic X-rays...

Interactive channel interpretation using deep learning

Hao Zhang, Peimin Zhu, Zhiying Liao, Zewei Li, Dianyong Ruan

International Meeting for Applied Geoscience and Energy (IMAGE)

... seismic volume derived by sweetness, and discuss the physical basis of this attribute, which can be used in a semi quantitative way to predict the net...

Fractal characteristics of the anisotropic microstructure and pore distribution of low-rank coal

Junpeng Zou, Weizhong Chen, Diansen Yang, Jingqiang Yuan, and Yu-Yong Jiao

AAPG Bulletin

... properties of coals: A laboratory and modeling study. 1. Isotherms and pore volume distributions: Fuel, v. 78, no. 11, p. 1333–1344, doi...

Coal Characterization in CBM/ECBM Processes Using X-ray CT Analysis

Search and Discovery.com

... parameters were used for all the CT experiment to produce comparable CT images. The raw data is CT images each containing 512 × 512 pixels. Each pixel...