Fracture Systems in Folded and Faulted Carbonates: Surface and Subsurface Case Studies

Deborah A. Spratt

Search and Discovery.com

... and relative to horizontal bedding (pre-folding). Corrections to the data included length weighting and removal of sample orientation bias. Orientation...

Quantifying the Effects of Prior Knowledge and Interpretational Methodology from the Creation of Structural Models

Clare Bond, Rebecca J. Lunn, Zoe K. Shipton, Alan D. Gibbs

Search and Discovery.com

... of thumb • Biases – how we are influenced Classic prior knowledge studies: • Tverskey and Kaheman (1974) Science • Krueger and Funder (2004) - Bias...

Adding Texture Attributes to the 3-D Mix*, by Paul de Groot, Farrukh Qayyum, and Nanne Hemstra; #41244 (2013).

Search and Discovery.com

Stochastic Modeling Workflow for Well Drilling Zones Delineation: Integrating Probabilistic Models and Production Data to Reduce Risk, #42134 (2017).

Marcela Feilhaber, Marcelo Pubill

Search and Discovery.com

... well data (clustered data) • Facies proportion – Bias and over estimation of sand proportion – Uncertainty Sand proportion •Sand proportion...

Importance of Probability Distributions on Volumetric Characterizations in Resource Assessment; #42577 (2022)

David M. Advocate and Kenneth C. Hood

Search and Discovery.com

... and dispersion of volumetric parameters compensates for the natural human tendency to be overconfident 3. Interpretation bias can have a large impact on volumetric...

A scaling law to characterize fault-damage zones at reservoir depths

Madhur Johri, Mark D. Zoback, and Peter Hennings

AAPG Bulletin

... with distance.Removal of Sampling Bias from the Well FF DataTo characterize the number of FF at depth using image logs, we correct for the sampling bias...

Small steps, big impact: advancing gender diversity in Queenslands oil and gas industry

Danielle Leray, Joanna Groves, Layna Smith

Australian Energy Producers Journal

.... • Unconscious bias: subtle biases influence hiring, promotions, and daily interactions, limiting women’s career progression. • Lack of role models...

Reliable 1D magnetotelluric probabilistic inversion considering modelling assumption violations

Hoël Seillé, Gerhard Visser

Petroleum Exploration Society of Australia (PESA)

... of synthetic 3D conductivity training images. The learning method quantitatively compensates for the bias caused by the 1D earth assumption...

Risks of Microseismic Fracture Mapping Mis-interpretation: Source-Dependent Sensitivity Induced by Surface Arrays Observational Bias

Pierre-Francois Roux

Unconventional Resources Technology Conference (URTEC)

...Risks of Microseismic Fracture Mapping Mis-interpretation: Source-Dependent Sensitivity Induced by Surface Arrays Observational Bias Pierre-Francois...

AAPG Methods in Exploration No.12, Chapter 3: Risk Analysis of Exploration Prospects

Pete Rose

AAPG Special Volumes

... number of trials, gain insight into the variance (scatter) as well as any existing bias. If staff are unbiased, we should have about the same number...

Empirical Relation Between Carbonate Porosity and Thermal Maturity: An Approach to Regional Porosity Prediction: DISCUSSION

Alton Brown

AAPG Bulletin

... formation porosity; hydrocarbon reservoirs may just become more scarce and represent a smaller fraction of the formation. The bias introduced by use...

Modern Observations: Temperature Data and Their Interpretation; #110056 (2008)

Thomas C. Peterson

Search and Discovery.com

... Spatial interpolation to fill in data sparse areas • Prevents bias towards areas with good international data exchange • NCDC’s approach uses...

Dealing with Exploration Uncertainties: Chapter 5: Part II. Nature of the Business

Ed Capen

AAPG Special Volumes

... this unsettling result. Let's ask a few other questions of this data. First, what evidence do we have of bias--that tendency to overestimate or underestimate...

Spatio-Temporal Models for Big Data and Applications on Unconventional Production Evaluation

M. E. Wigwe*, E. S. Bougre, M. C. Watson, A. Giussani

Unconventional Resources Technology Conference (URTEC)

... the empirical predictive distribution of the observations associated with the predictions on the y-axis. Any bias in the model predictions becomes...

Accounting for sediment sources and sinks in the linear regression analysis of the suspended sediment load of streams: The Rio Puerco, New Mexico, as an example

Isam E. Amin, Alan M. Jacobs

Environmental Geosciences (DEG)

..., however, are in the original engineering units. Therefore, retransformation of the suspended load data is required. The retransformation involves a bias...

Geohazard investigation on gas cloud distribution at B field (channel influence)

Norazif Anuar Hasni, Nur Shafiqah Shahman, Jasmi Ab Talib, Deva Prasad Ghosh

Geological Society of Malaysia (GSM)

... attributes such as instantaneous phase, instantaneous frequency, remove bias and envelope (reflection strength) had been used for channel detection...

Analysis of Artificially Matured Shales With Confocal Laser Scanning Raman Microscopy: Applications to Organic Matter Characterization

Grant A. Myers, Kelsey Kehoe, Paul Hackley

Unconventional Resources Technology Conference (URTEC)

... is briefly outlined, highlighting some of the latent difficulties and potential sources of bias. We suggest the organization of a community working group...

Reliability of Visual Estimates of Grain Abundance

John M. Dennison, James H. Shea

Journal of Sedimentary Research (SEPM)

... of 9 minerals plus basalt and siltstone were used. Variables studied include observer bias and precision, type of grain estimated, true percentage...

Particle Shape: Classification of Thickness Using Slotted Screens

John C, Ludwick

Journal of Sedimentary Research (SEPM)

..., fully stated, the purpose in using ro nd-holed screens is to obtain a narrowly-limited size cut free of shape bias. SCREEN CHARACTERISTICS Round-Holed...

When Numbers Lie: The Need for Causal Modeling in Well Forecasting

Kiran Sathaye, Dillon Niederhut

Unconventional Resources Technology Conference (URTEC)

... and rock quality, as operators densify their developments in the most productive areas. We adapt the method of causal modeling to address this bias...

AAPG Methods in Exploration No.12, Chapter 2: Geotechnical Estimates under Uncertainty

Pete Rose

AAPG Special Volumes

... in Figure 2 express two important attributes of prospect reserves forecasting: 1. Prevalent optimistic bias of estimates vs. actual outcomes...

Using and Improving Surface Models Built by Computer: Part 8. Integrated Computer Methods

David E. Hamilton

AAPG Special Volumes

... is commonly used to shift a surface model built from seismic data so that it passes through (honors) well data. Directional Bias Surface models...

Risk Behavior in Petroleum Exploration: Chapter 9: Part II. Nature of the Business

Peter R. Rose

AAPG Special Volumes

... behave inconsistently with respect to serial decision making: bias inclines us to favor one project over another, not upon objective assessment of EV...

Abstract: Characterizing Dipping Fractures from P-wave Amplitude Versus Azimuth Studies; #90187 (2014)

Jon Downton and Hampson Russell

Search and Discovery.com

... not meet this ideal abstraction. This paper investigates the amount of bias this assumption introduces. To achieve this goal, this paper generalizes...

The effect of morphology on postmortem transportation of bivalves and its taphonomic implications

Devapriya Chattopadhyay, Ashish Rathie, Anirban Das

PALAIOS

.... Using a simulation based on our experimental data, we have also demonstrated the effect that transportation bias can have in modifying a shell...