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The AAPG/Datapages Combined Publications Database

Showing 3,665 Results. Searched 200,691 documents.

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Comparison of Oil-Source Rock Correlation Data for Alaskan North Slope: Techniques, Results, and Conclusions: INTRODUCTORY PAPERS

G. E. Claypool, L. B. Magoon

AAPG Special Volumes

..., the degree of systematic bias must be known; and third, the level of precision with which the laboratories can reproduce their own analyses must be known...

1985

The Impact of Vertical Averaging on Hydrocarbon Volumetric Calculations--A Case Study: Chapter 16

Larry E. Denver, Danny C. Phillips

AAPG Special Volumes

...) cutoffs used to define net reservoir at the wells bias the interpolation of porosity, saturation, and net reservoir thickness, (2) averaged data make...

1992

Three common statistical missteps we make in reservoir characterization

Frank Male and Jerry L. Jensen

AAPG Bulletin

... visually understates this consistent bias. Figure 3. (A) Comparison of two predictors using equations (Eq) from Pittman (1992). The horizontal axis values...

2022

Computer-Aided Geologic Study of Yoakum Field, Dewitt and Lavaca Counties, Texas

Stewart Chuber

South Texas Geological Society Special Publications

... a geologist is searching for a structural bias to emphasize. Figure 2. Well locations and lines of section in Yoakum Field. Table 1. Well data sheet...

1986

A power-law fault model for Bayesian network geosteering in complex geology

Hugh Winkler

International Meeting for Applied Geoscience and Energy (IMAGE)

... fault throws, assign half the probabilities to the negative side of the spectrum. To incorporate a bias in favor of more or fewer upthrown faults than...

2022

Plant Taphonomy: 20 Years of Death, Decay, and Dissemules

David K. Ferguson

PALAIOS

... a humid climate. To compensate for this taphonomic bias and arrive at a more balanced appraisal of the past vegetation and climate, the authors...

2012

Incorporating Secondary Information Using Direct Sequential Cosimulation

A. Soares, J. A. Almeida, L. Guerreiro

AAPG Special Volumes

... of data, a bias can occur, especially in low-frequency classes. The bias arises from the disparity between a Gaussian CDF centered at y*(xu) and a CDF...

2006

Using deep learning for automatic detection and segmentation of carbonate microtextures

Claire Birnie, Viswasanthi Chandra

International Meeting for Applied Geoscience and Energy (IMAGE)

..., a number of solutions have been proposed to tackle this phenomenon, known as Label Bias. The most common approach involves re-weighting the data samples...

2022

PINNslope: Physics-informed neural network slope prediction and interpolation with positional encoding

Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

... by a simple multilayer perceptron architecture and therefore are affected by the well known low frequency bias of neural networks (Rahaman et al., 2019...

2023

Competition and the Quest for Offshore Leases

C. E. McMichael, R. W. Stephens

GCAGS Transactions

... companies might introduce a systematic bias into their values because of quality of information, previous experience in the area, the particular type...

1976

Probabilistic seismic interpolation with the implicit prior of a deep denoiser

Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

...), similar results have been also achieved in the case of regularly subsampled data. First, a bias-free network is trained on patches extracted from...

2023

An Integrated Approach to Stimulated Reservoir Interpretations of the Permian Wolfcamp Shale

Dylan R. Collins, Gene Monson, Weichun Chu, Anthony Quinn

Unconventional Resources Technology Conference (URTEC)

..., this workflow requires filtering of the microseismic data for event quality, systematic bias that result from data acquisition geometries, and far field...

2015

Enhanced Wellbore Placement Accuracy Using Geomagnetic In-Field Referencing and Multi-Station Correction

Stefan Maus, Matthew Herzl, Shawn DeVerse

Unconventional Resources Technology Conference (URTEC)

... as bias or scale errors in MWD instruments. The combination of IFR and MSA offers the highest level of lateral accuracy and quality control for MWD...

2015

Fast self-supervised learning for reconstruction of 3D seismic data

Yinshuo Li, Wenkai Lu, We Cao

International Meeting for Applied Geoscience and Energy (IMAGE)

... ×Cout denote the convolution filters of gate extraction and feature extraction, while bg ∈ R1 , b f ∈ RCout are the bias parameters of them. Besides, G...

2024

Seismic resolution enhancement with self-supervised learning

Shijun Cheng, Tariq Alkhalifah, Haoran Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

.... During the subsequent training, we iteratively perform this process to progressively diminish the frequency information bias between the predicted pseudo...

2024

A New Method for Production Forecasting: Predictive Analytics vs. Conventional Methods in the Montney

Melanie R. Popp, Alex M.D. Renaud, Joshua WY. Lee

Unconventional Resources Technology Conference (URTEC)

... thereof) and area expertise in their technical assessments to forecast well production. This type of analysis can introduce a level of bias which makes...

2019

Generating Complex Fault Interpretation in a Strike-Slip Area and Its Impact on Prospect Evaluation, Kutei Basin

Haryono Haryanto, Irfan Lubis, Luhut P. Gultom, Andrean Satria

Indonesian Petroleum Association

..., discontinuity result produce some bias to interpreter to paint the fault complex. Fault likelihood attribute has been performed with parameter...

2019

Workstation Visualization Techniques that Empower the Geologist: Examples from the Deepwater Gulf of Mexico

Louis Liro, Kimberly Cline, Mary Kadri, Mark Lahr, Henry Gerke

GCAGS Transactions

... literally in days. As such visualization methods are not influenced by seismic event interpretation and the bias induced by dominantly 2D perspective...

2000

Fast Probabilistic Forecasting of Oil Production using Monte Carlo Simulations on Data Driven Acquisition of Decline-Curve Parameter Distributions

V.B.K. Chavali, W. J. Lee

Unconventional Resources Technology Conference (URTEC)

... properly, problems in data quality, user experience (or the lack thereof) in the resource play or unexplained bias in gathering and setting the limiting...

2021

Basin-Scale Geologic Clustering for Delaware Basin Type Curve Area Delineation: Operator Workflows and Applications

James Cassanelli, Edward Wolfram

Unconventional Resources Technology Conference (URTEC)

... the production data will represent only the landing bench. This reduces the bias in the geologic data relative to the production data, but the geologic data...

2023

Application of Seismic Super Resolution to Improve Drilling ,Planning, and Risk Mitigation in the Delaware Basin

Riki Tasrianto, Chengbo Li

Unconventional Resources Technology Conference (URTEC)

... from the original data. The method is independent from well data to avoid any bias, but a validation process using synthetic well data is applied...

2023

Skewness and Kurtosis as Criteria of Normality in Observed Frequency Distributions: NOTES

Thomas A. Jones

Journal of Sedimentary Research (SEPM)

... for bias. Let [EQUATION] End_Page 1622----------------------- then the k-statistics are defined by k1\ = [S1]/[n] k2 = [nS2 - S12]/[n(n -1)] k3 = [n2S3...

1969

Marine Vertebrates of the Gulf Coast

Mark D. Uhen

GCAGS Transactions

... particular taxa, time interval, or geographical region, which means that their absence should not bias these results in any predictable manner (Uhen...

2008

An Elutriator Method for Particle-size Analysis with Quantitative Silt Fractionation

Leon R. Follmer, A. H. Beavers

Journal of Sedimentary Research (SEPM)

... time before decanting should be as calculated, since theoretical considerations indicate that increased settling time will bias the < 2 µ determination...

1973

Unveiling Hidden Bias: The Effects of OBM Cleaning on TOC and Thermal Maturity

Gavin Russell, Emmaneul Zubia, Mohammad Wahid Rahman

Unconventional Resources Technology Conference (URTEC)

...Unveiling Hidden Bias: The Effects of OBM Cleaning on TOC and Thermal Maturity Gavin Russell, Emmaneul Zubia, Mohammad Wahid Rahman URTeC: 4263553...

2025

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