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The AAPG/Datapages Combined Publications Database
Showing 3,665 Results. Searched 200,616 documents.
Does Pressure Matter? A Statistical Study
Dylan Lougheed, Reza Khaksarfard, David Anderson
Unconventional Resources Technology Conference (URTEC)
... wells under high drawdown and under-ranked wells under low drawdown. Rate-pressure metrics significantly reduce this bias. In some cases 90-day rate...
2017
Determining Fracture Geometry in a Multifractured Horizontal Well Using DFIT Interpretation, Intra-well Fracture-To-Fracture Interference, and Production History Matching
David P. Craig
Unconventional Resources Technology Conference (URTEC)
... perforation clusters because of perforation erosion and loss of differential pressure in the treatment interval. In virtually all cases, there is a "heel bias...
2017
Numerical Modeling of 1D Anomalous Diffusion in Unconventional Wells Using a Nonuniform Mesh
Ralf Holy, Erdal Ozkan
Unconventional Resources Technology Conference (URTEC)
... + (1 − ϑ) L 1 ∫ g ′ (ξ)(ξ Γ(1−β) x − x)−β dξ . (3) (4) 𝐶𝐶 The coefficient 0 ≤ 𝜗𝜗 ≤ 1 is the weighting factor, which allows us to put a bias...
2017
Using a Systematic, Bayesian Approach to Unlock the True Value of Public Data; Midland Basin Study
Sean Clifford, Tim Torres
Unconventional Resources Technology Conference (URTEC)
... us the ability to provide an objective evaluation by reducing human bias through the MCMC simulation process. The evaluator can provide guidance...
2017
Synthetic Well Log Generation Using Machine Learning Techniques
Oyewande Akinnikawe, Stacey Lyne, Jon Roberts
Unconventional Resources Technology Conference (URTEC)
... estimates often have low prediction accuracy because of their low bias but high variance. Also, large input variables leads to large number of effects...
2018
Application of RGB Color Quantification to Determine Rock Properties, Facies Distribution and Analog to Mahakam Producing Reservoirs, Case Study: Virtual Outcrop Model Palaran Area, Samarinda.
Bima Fatkhurroyan, Argo Wuryanto, Firdaus Tampilang, I-Made Putra, Dwi Charisah Andriyani, Ridwan Bima Arya
Indonesian Petroleum Association
... bias the RGB value. Second, there is the weathering process. Naturally exposed rock formations are degraded through times, especially in trophical...
2017
Composition, Grain Size, Roundness, and Sphericity of the Potsdam Sandstone (Cambrian) in Northeastern New York
Donald R. Wiesnet
Journal of Sedimentary Research (SEPM)
... reliable quantitative data for sedimentary studies. CHAYES, FELIX, 1950, On the bias of grain-size measurements made in thin section: Jour. Geology, v...
1961
Market Survey Methodology to Determine Best Practice Procurement Strategy and Sharp Well Economic: A Case Study of Well Planning in Deepwater Exploration Indonesia
Bayu Buana Natanagara, Yohanes Ronny Costamte Siregar, Merindra Bagus Setyawan, Erwindo Tanjung
Indonesian Petroleum Association
... narrowed down the bias cost data, especially for some of the major drilling services contract. The method on the market survey has established also...
2021
Mature Field Development to Periphery Area: Tambora West Flank Development Opportunity
Yasinto Sindhu Priastomo, Aditya Suardiputra, Jodi Astorifa Anggoro, Thomas Yunanto Yoga, Julfree Sianturi
Indonesian Petroleum Association
... from the area to bias for reservoir filling and properties. The uncertainty in reservoir connectivity is mainly derived from the presence of lateral...
2021
Decomposition of Publicly Reported Combined Hydrocarbon Streams Using Machine Learning in the Montney and Duvernay
K. N. Darnell, K. Crifasi, G. Stotts, D. Tsang, V. Lavoie, T. Cross, D. Niederhut, J.A. Ramey, K. Sathaye
Unconventional Resources Technology Conference (URTEC)
... of the CGR history without any human bias. We apply our method to separate datasets from the Montney and Duvernay plays. While different features appear...
2020
Intervention Based Distributed Fiber Optics Allows for a Systematic Evaluation of Diverters, Limited Entry, and HVFR Fluids in the Northwest Stack Play
A. Attia, M. Lawrence, P. Chen, B. Thakur
Unconventional Resources Technology Conference (URTEC)
... results with room to improve. The stages, however, were in the heel of the well which could have introduced a bias to better production. This was taken...
2020
A Proposed Methodology to Assess Production Performance for Shale Oil and Gas Wells
E.L. Dougherty, T.A. Blasingame
Unconventional Resources Technology Conference (URTEC)
... to be "event" bias). The oil rate and cumulative oil production data plots are shown in Figs. 21 and 22. The oil rate data have significant random noise, most...
2021
Systematic Comparison of Proppant Placement in SRV Along Two Fractured Wells at the Hydraulic Fracturing Test Site: A Case Study from Midland Basin.
Debotyam Maity, Jordan Ciezobka
Unconventional Resources Technology Conference (URTEC)
... correlation between location of clusters and significant proppant peaks in the core with evidence of heel side distribution bias. This study helps validate...
2021
A Montney Field Study Measuring the Impact of Completion Designs on Near and Far Field Fracture Geometry
Kristyn O'Byrne, Michael de Groot, David Bonar, Jerry Tkachyk, Scott Thiessen
Unconventional Resources Technology Conference (URTEC)
... at discrete stage tonnage points. It is apparent that a heel side bias exists for higher rate per cluster as increased tonnage is pumped. As the job...
2023
Chapter 5: Multiresolution Imaging of Shales Using Electron and Helium Ion Microscopy
Timothy Cavanaugh, Joel Walls
AAPG Special Volumes
... material. The average OM value from the FESEM fields of view chosen for HIM imaging is 66.8%; this is atypical and reflects the bias involved in imaging...
2016
Survival Analysis Predicts Flow Regime Changes for Permian Basin Tight Oil Wells
Frank Male, Robin Dommisse
Unconventional Resources Technology Conference (URTEC)
... on wells in boundary-dominated flow, this would bias the time-to-boundary dominated flow to be too short (Figure 2). On the other hand, using...
2023
Physics-Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability
Kainan Wang, Lichi Deng, Yuzhe Cai, Guido Di Federico, Keith Ramsaran, Mun-Hong Hui, Hussein Alboudwarej, Christian Hager, Yuguang Chen, Xian-Huan Wen
Unconventional Resources Technology Conference (URTEC)
... by physical laws. By incorporating observational bias, inductive bias, or learning bias, they bridge the gap between empirical data and fundamental physics...
2024
3-D Geocellular Modeling
Mike Shepherd
AAPG Special Volumes
..., then the stochastic modeling algorithm will try and replicate this proportion. However, there are instances where there may be a bias in the global facies proportions...
2009
Integrated Reservoir Modeling of a Pinedale Tight-gas Reservoir in the Greater Green River Basin, Wyoming
Y. Zee Ma, Ernie Gomez, Terry J. Young, Dennis L. Cox, Barbara Luneau, Fabian Iwere
AAPG Special Volumes
... increasing the flood plain to 70% (Figure 4A). However, although the random pick avoids the global bias (Figure 4B), it creates a local bias as it does...
2011
Organic Carbon and Sulfur in the Sediments of the Virginia Chesapeake Bay
Carl H. Hobbs, III
Journal of Sedimentary Research (SEPM)
... was selected so as not to bias the samples with alterations resulting from changes in the geochemical environment that might be controlled by depth or time...
1983
Petrological Characteristics of Archean Graywackes
Scott M. McLennan
Journal of Sedimentary Research (SEPM)
...-rich varieties (Crook 1974) with quartz-intermediate being, by far, the most common. Even if a certain amount of quartz bias, due to matrix formation...
1984
Modeling Anisotropy in Computer Mapping of Geologic Data: Chapter 7
Gregory Kushnir, Jeffrey M. Yarus
AAPG Special Volumes
... directional bias is built into the weighting function of each data point. Because the regional approach is built into the gridding algorithm, it is more...
1992
Nonfluvial Control of Bimodal Grain-Size Distributions in River-Bed Gravels
John Wolcott
Journal of Sedimentary Research (SEPM)
... shape of the output distribution is a result of a bias in sampling, either in the analysis of an individual sample or in the location of the sample...
1988
High-Frequency Explosive Volcanic Eruptions in a Late Jurassic Volcanic Arc: The Ameghino Formation, Antarctic Peninsula
Roberto A. Scasso
Journal of Sedimentary Research (SEPM)
..., is not supported by the marine record in the adjacent basin and must be due to a bias of sampling. CAREY, S., 1997, Influence of convective sedimentation...
2001
Prospect risk, pot odds, and efficient drill or no-drill decision making: What the exploration business can learn from high-stakes poker
Frank J. Peel
AAPG Bulletin
.... Wood, 2004, An introduction to prior information derived from probabilistic judgements: Elicitation of knowledge, cognitive bias and herding...
2016