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The AAPG/Datapages Combined Publications Database

Showing 4,876 Results. Searched 200,619 documents.

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Three-dimensional geological and synthetic seismic model of Early Permian redeposited basinal carbonate deposits, Victorio Canyon, west Texas

Xavier Janson, Charles Kerans, Jerome A. Bellian, William Fitchen

AAPG Bulletin

... incorporate fine-scale stratigraphic architecture. In addition, the stochastic impedance model incorporates spatially correlated noise, resulting in more...

2007

Abstract: Common Reflection Angle Pre-Stack Depth Migration as Data Enhancement Method for 3D Sparse Land Seismic Data, Case Study from Saudi Arabia; #90319 (2018)

Asaad E. Alzawwad, Krzysztof K. Sliz, Luke LaFreniere

Search and Discovery.com

... m by 30 m. The sparse geometry resulted in a spatially varying fold from 60 in the majority of the area up to a maximum of 460 on some in-lines...

2018

Chapter 10-part 3: 3-D Depth Image Interpretation

William L. Abriel, Joseph P. Stefani, Robert D. Shank, David C. Bartel

AAPG Special Volumes

... the signal concepts, it is also important to understand coherent noise and how it should appear in depth-imaged data. The models and data examples shown...

2011

Calibration of Double-Ended Distributed Temperature Sensing System for Production Logging

Ge Jin, Kyle Friehauf, Baishali Roy

Unconventional Resources Technology Conference (URTEC)

... of the cable are comparable to the borehole gauge measurements. A direct calculation using Equation 6 and 7 may spread the channel-dependent random noise...

2019

Floodplain topography and avulsion pathfinding control stratigraphic architecture in a numerical model of a fluvial fan

Caitlin Sifuentes, Harrison K. Martin, Kyle M. Straub, Elizabeth A. Hajek, Douglas A. Edmonds

Journal of Sedimentary Research (SEPM)

... of the stratigraphic arrangement of channel bodies, including compensational (spatially and temporally even) deposition, stratigraphic completeness...

2025

Bayesian uncertainty quantification for reservoir parameter changes estimated from time-lapse machine learning

Jinsong Chen, Chang Li, Lei Wei, Anusha Sekar, Maisha Amaru

International Meeting for Applied Geoscience and Energy (IMAGE)

... because seismic data are subject to noise and have bandlimited resolution, subsurface systems are complex, and subsurface property changes are subtle...

2024

Transfer Learning with Recurrent Neural Networks for Long-term Production Forecasting in Unconventional Reservoirs

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

Unconventional Resources Technology Conference (URTEC)

... and π’š12# where 𝑁$ = 1, 𝑁4 = 1 and 𝑁3 = 1. We first consider a transfer learning scenario (i.e., random) to mimic an infill drilling development...

2021

Deriving Subsurface Insight from Seismic

Gregory Partyka

Indonesian Petroleum Association

... of the noise attenuation. It is important to work with a stable source wavelet. If the source wavelet characteristics vary temporally and /or spatially...

2015

Australian Insights into Streamer Technology Innovations

Andrew Long

Petroleum Exploration Society of Australia (PESA)

.... reducing weather, swell and operational down-going pressu re wavefield, reflected with The technology described here uses an noise effects recorded...

2009

Abstract: Tetrapod trackways in a fossil Walchia forest: a new discovery from the early Permian of Nova Scotia

J. H. Calder, H. E. K. Van Allen, K. Adams, R. G. Grantham

Atlantic Geology

... of non-random passage of the Brule tetrapods along a preferred route and suggestive of group behaviour. Herding, unknown to us in the Paleozoic, can...

1995

Estimation of reservoir properties using a prestack seismic probabilistic inversion in gas-bearing tight sandstone reservoirs

Yongjian Zeng, Zhaoyun Zong, Kun Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... band and noise interference in seismic data, pre-stack inversion problems often exhibit strong ill-posedness. Bayesian-guided pre-stack probabilistic...

2023

Estimating Parameters for Hierarchical Permeability Correlation Models

Zhenxue Dai, Robert W. Ritzi Jr., David F. Dominic

Special Publications of SEPM

... covariance structure of intrinsic or nonintrinsic random functions from point or spatially averaged data, Samper and Neuman (1989) described a cross...

2004

Deep Learning Models for Methane Emissions Identification and Quantification

Ismot Jahan, Mohamed Mehana, Bulbul Ahmmed, Javier E. Santos, Dan O’Malley, Hari Viswanathan

Unconventional Resources Technology Conference (URTEC)

... in increasing the performance of the CNN. Random Gaussian noise with zero mean and 0.2 variance, random horizontal flip, random rotation of 0.2, and random...

2023

An Innovative and Simple Approach to Spatially Evaluate a Proxy for Stress Shadow Effect of Unconventional Reservoir Completion Activity

Shane J. Prochnow, Alena Grechishnikova, Paymon Hossaini, Mohamed Ibrahim, Sandra Saldana

Unconventional Resources Technology Conference (URTEC)

...An Innovative and Simple Approach to Spatially Evaluate a Proxy for Stress Shadow Effect of Unconventional Reservoir Completion Activity Shane J...

2022

The Role of Positive Feedback in the Development of Internal Oscillations for a Simple, Tightly Coupled, Nearshore Depositional Model

Brian S. Penn, John W. Harbaugh

Special Publications of SEPM

... random noise with random spikes and pinch outs that is grow or regions relatively cyclic pattern would abruptly amplitude and completely change...

1999

Preservation of Autogenic Processes and Allogenic Forcings in Set-Scale Aeolian Architecture I: Numerical Experiments

Travis Swanson, David Mohrig, Gary Kocurek, Benjamin T. Cardenas, Matthew A. Wolinsky

Journal of Sedimentary Research (SEPM)

... the migration rates of subaqueous dunes: Water Resources Research, v. 32, p. 3207– 3217. Paola, C., and Borgman, L., 1991, Reconstructing random...

2019

Interaction of Reaction, Mass Transport, and Rock Deformation During Diagenesis: Mathematical Modeling of Intergranular Pressure Solution, Stylolites, and Differential Compaction/Cementation

Thomas Dewers, Peter J. Ortoleva

AAPG Special Volumes

... of spatially discrete domains of heightened compaction and cementation in sandstones and argillaceous carbonates. Bathurst, R. G. C., 1958, Diagenetic fabrics...

1990

Key Properties are not Well Represented by Means: Spatial Asymmetry in Coal Seam Gas Reservoir Modelling

Sebastian Hoerning, Iain Rodger

Unconventional Resources Technology Conference (URTEC)

.... The basic geostatistical assumption is that spatially distributed variables (or data values) xi at locations si are a realization of a random field X...

2021

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