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The AAPG/Datapages Combined Publications Database
Showing 3,665 Results. Searched 200,756 documents.
Carbonates Versus Siliciclastics in Sequence Stratigraphy: Chapter 5
Wolfgang Schlager
AAPG Special Volumes
... of Reefs and Carbonate Platforms: A Short Course The principle of depositional bias In chapter 4 we concluded that sea level fluctuations are but one...
1992
Variable Source Areas of Bedload in a Gravel-Bed Stream
Celso Garcia , Jonathan B. Laronne , Maria Sala
Journal of Sedimentary Research (SEPM)
... Geophysical Union, v. 74, 16, Spring Meeting, p. 151. FERGUSON, R.I., AND PAOLA, C., 1997, Bias and precision of percentiles of bulk grain size...
1999
Deep biogenic methane and drilling-associated gas artifacts: Influence on gas-based characterization of petroleum fluids
Dariusz Strąpoć, Benjamin Jacquet, Oscar Torres, Shahnawaz Khan, Esra Inan Villegas, Heidi Albrecht, Bruno Okoh, and Daniel McKinney
AAPG Bulletin
... of migration-mixing versus diffusion-leakage in petroleum systems, and (3) bias introduced by gases generated at the drill bit, including alkenes...
2020
An approach for quantifying structural interpretation uncertainty
Kellen L. Gunderson and Chris A. Guzofski
AAPG Bulletin
... information. Such examples of these biases are the anchoring bias, the availability bias, or the confirmation bias (Tversky and Kahneman, 1973...
2022
Abstract: Azimuthal Fourier Coefficients: A Simple Method to Estimate Fracture Parameters; #90174 (2014)
Jon Downton and Benjamin Roure
Search and Discovery.com
... angle terms, introducing a bias into the Bani estimate. The advantage of using this approximation is that equation (1) may be linearized by rewriting...
2014
Clastic Facies Reservoir Characterization in a Sequence Stratigraphic Framework through Production Decline Curve Analysis: ExampleFrio Formation, South Texas; #41482 (2014)
John D. Pigott, Bryant W. Bradley
Search and Discovery.com
... changes in sea level 2autocylic – intrabasinal, chiefly affected by local depositional processes 13 The Sequence Dilemma The operational cognitive bias...
2014
Case of Study: Applying Data Analytics to Reveal Most Important Parameters Impacting Well Production Performance in Vaca Muerta Unconventional Formation
Alejandro Lerza, Juan Jose Fernandez, Ana Marlats, Diego Gallart
Unconventional Resources Technology Conference (URTEC)
... been already captured (not the typical case), a higher complexity model would be required to reduce model bias. For this study, multiple modeling...
2020
Depositional Setting and Fossil Insect Preservation: A Study of the Late Eocene Florissant Formation, Colorado
Jenell Thoene Henning, Dena M. Smith, César R. Nufio, Herbert W. Meyer
PALAIOS
... of the original communities they are thought to represent, with there being a bias toward those that are smaller, necrophagous, and ground dwelling (Smith, 2000...
2012
A reassessment of gas resources in selected Upper Cretaceous biogenic gas accumulations in southeastern Alberta and southwestern Saskatchewan, Canada
Zhuoheng Chen, Yanhua Shuai, Norman Wang
CSPG Bulletin
... in the production datasets as representative of all wells. The first bias is a bias on the cumulative production size. By dividing the wells by cumulative...
2015
Optimizing Field Development Across Northern Delaware Basin for the Wolfcamp C
M. D. Rincones, I. Perez, J. Dark, A. Dutta, A. Wilkinson, Y. Wang, S. Bey, J. Hanzel, B. Biurchieva, P. Hoang
Unconventional Resources Technology Conference (URTEC)
... based on the variables indicated in Figure 7. To avoid any bias during the clustering, production parameters were not introduced until later. Figure...
2023
Strategies for Sampling Spatially Heterogeneous Phenomena: the Example of River Gravels
John Wolcott , Michael Church
Journal of Sedimentary Research (SEPM)
...% of the trials, against an expectation of 40% if there were no area related bias. The bias is inversely related to area represented by each facies (Table...
1991
Deep convolutional neural networks for generating grain-size logs from core photographs
Thomas T. Tran, Tobias H. D. Payenberg, Feng X. Jian, Scott Cole, and Ishtar Barranco
AAPG Bulletin
... interpretation free from interpreter bias brings consistency and improved model accuracy while also potentially helping to reduce interpretation cost...
2022
Carbonate facies models
Wolfgang Schlager
Special Publications of SEPM
... and seagrass; the structures that did form were subsequently erased by bioturbation. Selective dissolution is another source of preservational bias...
2005
IGNEOUS PETROLOGY OF THE HILLABEE GREENSTONE
Stephen H. Stow
Alabama Geological Society
... sambasaltic and felsic lithologies. This compOSitional gap, shown for Si02 in Figure 8, is not interpreted to result from samDlina bias Thus the well...
1979
Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs
Nguyen T. Le, Roman J. Shor, Zhuoheng Chen
Unconventional Resources Technology Conference (URTEC)
...; al, gl, Wl, and bl are output, activation function, weights, and bias of layer l. The training process of a neural network can be formulated...
2021
Automatic detection of SEG-Y sampling format errors using machine learning
Sahana Vinayak, Ray Abma, Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
.... The two datasets had varying scales, but to avoid any bias, the data was normalized to have the sample values fall between -1 and 1. This prevents...
2022
A robust approach for shear log predictions using deep learning on big data sets from a carbonate reservoir for integrated reservoir characterization projects
Aun Al Ghaithi
International Meeting for Applied Geoscience and Energy (IMAGE)
... characterization projects The data set contained a total of 150 wells. The 150 wells were randomly shuffled to avoid user bias and ensure model generalization while...
2022
Computer Utilization of Type Curve for Forecasting Production Performance
A. Partakoesoema, Djumero S.
Indonesian Petroleum Association
... curve to the plot rather ambiguous, and dependent on the personal bias of the analyst. This paper presents a Computerized decline analysis system used...
1985
Induced seismicity hypocentral depth stability and sensitivity to Vp/Vs in the South Delaware Basin, West Texas
Alexandros Savvaidis, Anthony Lomax, Robin Dommisse, Caroline Breton, Matthew Shirley, Vincent OSullivan
International Meeting for Applied Geoscience and Energy (IMAGE)
... station data for avoiding depth bias due to the Ochoan layer. We also examine the sensitivity of hypocentral depth estimates in the Pecos-Reeves County...
2022
Interpretation of Down Hole Microseismic Data
Mark Boyd, Brent Riley, Davis Tolman
Indonesian Petroleum Association
... found, these are shown in Figure 2A along with the average offset of all 694. This data clusters around the origin and shows no azimuthal bias. Although...
2012
Data, the Cloud and Me: A Geoscientist's Perspective
Rhian Burrell, Charles Jones, Joseph Nicholson, James Selvage
GEO ExPro Magazine
... of and connectability of the cloud, as well as its near-limitless geoscientists with techniques to remove human bias? compute power. The near...
2019
Integrating deep directional resistivity with machine learning for improved well placement in the Nikaitchuq Field, North Slope Alaska
Christopher McCullagh, Joshua Zuber
International Meeting for Applied Geoscience and Energy (IMAGE)
... of improvement. Predictive accuracy in the OA1 and OA3 is comparatively high compared to others layers. This bias is likely due to class imbalances...
2023
An Estimate of the Conventional Crude-Oil Potential in Alberta
J. T. Ryan
CSPG Bulletin
... in an analytical sense, but tend to bias any prediction of potential reserves or future discoveries to the pessimistic side. To provide a more realistic estimate...
1973
The Effect of Velocity Uncertainty and Attenuation on Flow Estimates From Microseismicity
Oleg V. Poliannikov, Michael Fehler, Alison Malcolm
Unconventional Resources Technology Conference (URTEC)
..., a systematic bias in the velocity results in a systematic bias in the estimated diffusivity. This example underscores the importance of properly described...
2015
Machine learning-based workflow for identifying fractures and baffles from Formation Micro Imager (FMI) log: A practical application in Illinois Basin Decatur Project (IBDP)
Mohammad Faiq Adenan, Ebrahim Fathi, Tim Carr, Brian Panetta
International Meeting for Applied Geoscience and Energy (IMAGE)
..., time, and human bias. Applying the workflow to The Illinois Basin – Decatur Project (IBDP) site, achieves significant reductions in interpretation...
2023