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The AAPG/Datapages Combined Publications Database
Showing 15,646 Results. Searched 200,626 documents.
Fracture Conductivity, Proppant Loading, and Well Performance in the Bakken
Craig Cipolla, Michael McKimmy, John Lassek, Sama Morsy, Mark McClure
Unconventional Resources Technology Conference (URTEC)
... along the hydraulic fracture length and drainage as a function of distance away from the lateral. These drainage mapping projects also included fiber...
2025
Fracture Height Quantification from Vertical and Horizontal Section Fiber Measurements: A Comprehensive Study using LF-DAS Measurements from HFTS 2 Dataset
Aishwarya Srinivasan, Joseph Mjehovich, Kan Wu, Ge Jin, Wen Wang, George Moridis
Unconventional Resources Technology Conference (URTEC)
... from the HFTS-2 dataset using three methods to illustrate the reliability of height prediction using strain measurements in the vertical section...
2023
CO2 Plume Imaging with Accelerated Deep Learning-based Data Assimilation Using Distributed Pressure and Temperature Measurements at the Illinois Basin-Decatur Carbon Sequestration Project
Takuto Sakai, Masahiro Nagao, Chin Hsiang Chan, Akhil Datta-Gupta
Carbon Capture, Utilization and Storage (CCUS)
...n and prediction of the CO2 plume migration. One of useful features of VAE latent space is that the distance between the sample points represent...
2024
Estimation of Uranium Endowment in the Westwater Canyon Member, Morrison Formation, San Juan Basin, Using a Data-Directed Numerical Method
Richard B. McCammon, Warren I. Finch, John O. Kork, Nancy J. Bridges
AAPG Special Volumes
... could not be corr lated consistently over any significant distance (Santos, 1970; Kirk and Condon, this volume). In this chapter, the "Poison Canyon...
1986
Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin
S. M Agar, W. Li, R. Goteti, D. Jobe, S. Zhang
CSPG Bulletin
...Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin S. M Agar, W. Li, R. Goteti, D. Jobe, S. Zhang 2019...
2019
Broadband reconstruction of seismic signal with generative recurrent adversarial network
Zhijun Zhang, Wei Song, Wei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... prediction variables. Deep learning method has been proved to be good at image processing, especially after a variant of deep network (Goodfellow et al...
2022
Rock-Fluid Interaction Impact on Geomechanical and Acoustic Properties in Shale Reservoirs: Anisotropic Grain Contact Adhesion Model
Binh T. Bui, Azra N. Tutuncu
Unconventional Resources Technology Conference (URTEC)
... of the operations. These applications are expected to grow into principal reservoir engineering operations including the prediction of fluid type...
2014
Abstracts: Making New with Old: Reprocessing Vintage Seismic Data from the Western Arctic Islands using Modern Methods; #90173 (2015)
Mathieu J. Duchesne, Virginia I. Brake, and Tom Brent
Search and Discovery.com
... by employing a frequency-distance (FX) random noise prediction algorithm that eliminated most of the background noise (Figure 1; Canales, 1984). Conclusions So...
2015
STAR A Smart Technology for Maximizing the Value of Heavy Oil Reservoirs; #41229 (2013)
Ronald Pantin, Luis A. Rojas, Syeda Farouq, and Mac Fuenmayor
Search and Discovery.com
... Recovery) technology, involves several actions: (1) Sensing the combustion zone advance in different directions in real time and distance, and correcting, (2...
2013
Finding a Better Path to Impedance Inversion; #41722 (2015)
Amit Kumar Ray, Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
... weights calculated on the basis of inverse distance, and similarly extrapolates away from the well control. When quality checks are performed...
2015
Data Analysis and Model Development
Alan P. Byrnes
Special Publications of SEPM
...) Reservoir Quality Assessment and Prediction in Clastic Rocks (SC30), 1994 CHAPTER 18 DATA ANALYSIS AND MODEL DEVELOPMENT Alan P. Byrnes...
1994
ABSTRACT: Porosity Prediction in Quartz-Rich Sandstones: Middle Jurassic, Haltenbanken Area, Offshore Central Norway, by S. Bloch, R. K. Suchecki, J. R. Duncan, and K. Bjorlykke; #91043 (2011)
Search and Discovery.com
2011
Abstract: Differences in pyrrhotite and pyrite reactivity in acidic solutions and the possible influence on acid base accounting prediction techniques
Don Fox
Atlantic Geology
...Abstract: Differences in pyrrhotite and pyrite reactivity in acidic solutions and the possible influence on acid base accounting prediction...
2000
ABSTRACT: Porosity Prediction in Sandstones: Casual vs. Causal Relationships, by S. Bloch, R. K. Suchecki, and J. H. McGowen; #91022 (1989)
Search and Discovery.com
1989
Abstract: Role of Secondary Porosity and Permeability in Predrill Prediction of Total Porosity and Permeability in Sandstones, by S. Bloch; #91004 (1991)
Search and Discovery.com
1991
Abstract: Aspects of Porosity Prediction Using Multivariate Linear Regression, by A. P. Byrnes and M. D. Wilson; #91004 (1991)
Search and Discovery.com
1991
Abstract: Intergranular Volume (IGV) Decline Curves for Evaluating and Predicting Compaction and Porosity Loss in Sandstones, by J. O. Szabo and S. T. Paxton; #91004 (1991)
Search and Discovery.com
1991
Abstract: Fluvial Channel Reservoirs: Prediction and Location Using Floodbasin Paleosols, by B. P. J. Wlliams, S. E. Love, and D. K. Davies; #90987 (1993).
Search and Discovery.com
1993
Method of Prediction of the Hydrogen Sulfide Content in Gas Based on Its Solubility in Water (Case Study of the Kochmes Field, Timan-Pechora Basin), by L. A. Faingersh and M. A. Kalita; #90986 (1994).
Search and Discovery.com
1994
Prediction of Hydrocarbon Migration and Accumulation: Central Chukchi Sea, Northwest Alaska, by J. Liu, C. Leonard, M. Titus, and C. James; #90986 (1994).
Search and Discovery.com
1994
Abstract: A Case Study on Using Geostatistical Data Integration for Porosity Prediction in a Complex Carbonate Reservoir in West Texas, by J. G. Gallagher Jr. and G. M. Hoover; #90960 (1995).
Search and Discovery.com
1995
ABSTRACT: An Empirically Calibrated Model for Sandstone Reservoir Quality Prediction, by R. H. Lander and O. Walderhaug; #91021 (2010)
Search and Discovery.com
2010
Abstract: Prediction and Correlation of Subsurface Lithologies: Best Practices for E&P, by P. W. Homewood; #90922 (1999)
Search and Discovery.com
1999