Vertical-to-Lateral Transitions Among Cretaceous Carbonate Facies—A Means to 3-D Framework Construction Via Markov Analysis

Sam Purkis, Brigitte Vlaswinkel, Nuno Gracias

Journal of Sedimentary Research (SEPM)

... concludes by demonstrating the utility of an existing 3-D Markov random field simulation to volumetrically model the Lewis Canyon outcrop...

Quality Data at a Reduced Price: Innovative Approaches in 3-D Acquisition and Processing

Mars E. Semaan, Michel F. Bee, Maryanto, Gerard Dufourd, Eddy A. Sentani

Indonesian Petroleum Association

... to noise ratio in order to adequately image the shallow events. Small far offsets imply a small number of live channels, thus a higher number of shots...

Micro transient EM for seismic sand corrections through physics-coupled deep learning

Daniele Colombo, Ersan Turkoglu, Ernesto Sandoval-Curiel, Javier Giraldo-Buitrago

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The result is the generation of a random training dataset (𝒎𝒕0 , 𝒅𝒕0 ) consisting of 5,000 1D resistivity models and associated dBz/dt responses. The goal...

Using Stage Level Microseismic Analysis to Gain Insight Into Fracture Efficiency and Completion Effectiveness

Iris Haihong Wang, Ryan Fairfield, James Courtier, Danny Gray, Shawn Lee

Unconventional Resources Technology Conference (URTEC)

... (KDE) is a non-parametric way to estimate the probability density function of a random variable. KDE addresses a fundamental data smoothing problem...

Optimization of Variograms used for Truncated Plurigaussian Simulation

Samaneh Sadeghi, Jeff B. Boisvert

CSPG Bulletin

... a geologic modeling method based on the simulation of a standard Gaussian random function and the classification of categorical domains by truncating...

New method for monitoring steam injection for Enhanced Oil Recovery (EOR) and for finding sources of geothermal heat

Gordon Stove, G. Colin Stove, Michael Robinson

Petroleum Exploration Society of Australia (PESA)

... equations coupled to ground model Propagate pulse straight down and back Collect voltage at virtual detector point Spatially variable ground parameters...

Structural imaging in the Rocky Mountain Foothills (Alberta) using magnetotelluric exploration

Wen Xiao, Martyn Unsworth

AAPG Bulletin

... data and being spatially smooth. The resistivity model imaged the Alberta basin as a thick package of low-resistivity units that could be traced...

Uncertainty Analysis on Environmental Impacts of Hydraulic Fracturing

Abbas Movassagh, Elaheh Arjomand, Dane Kasperczyk, James Kear, Tess Dance

Australian Petroleum Production & Exploration Association (APPEA) Journal

...) with analytical models PBA with analytical models applied spatially over a region Monte Carlo simulation with analytical and P3D models e.g. Jeffrey et...

Quantitative FWI characterization of reservoir properties at the CMC Newell County Facility

Qi Hu, Matthew Eaid, Scott Keating, Kristopher Innanen, Xiaohui Cai

International Meeting for Applied Geoscience and Energy (IMAGE)

...-to-noise ratios. The porosity and lithology models predicted from the accelerometer elastic models are reasonably accurate at the well location...

Chapter 3: Seismic Data Acquisition, Processing, and Interpretation in the Cook Inlet Basin — Local Geologic and Logistical Impacts

Diane P. Shellenbaum

AAPG Special Volumes

... in the spatially confined inlet is difficult. To avoid extreme cable feathering, noise, and other complications related to the currents, data collection has...

Simulating the Three-Dimensional Distribution of Sediment Units in Braided-Stream Deposits: SPECIAL SECTION: AQUIFER STRATIGRAPHY

Erik K. Webb

Journal of Sedimentary Research (SEPM)

... record, and (2) characteristics of sediment units are a function of the localized flow energy as expressed by the Froude number. BCS-3D uses a random-walk...

Environmental and ecological variability of Middle Devonian (Givetian) forests in Appalachian Basin paleosols, New York, United States

Jason S. Mintz, Steven G. Driese, Joseph D. White

PALAIOS

... analysis (Clark and Evans, 1954). The nearestneighbor statistical value (R) distinguishes clustered distributions from theoretical, purely random...

Characterizing Reservoir Behaviour With Cluster-Based Microseismic Analysis

Adam M. Baig, Ted Urbancic, Katherine Bosman, Ellie Ardakani, John M. Thompson

Unconventional Resources Technology Conference (URTEC)

... curve) compared with the noise spectrum (black curve) and a Brune model fit corrected for attenuation (magenta curve). Over the bandwidth where...

Effects of Fluid and Rock Compositions on Diagenesis: A Modeling Investigation

Craig H. Moore, Peter J. Ortoleva

AAPG Special Volumes

... to minimize the errors from extrapolation in time. Problems such as low resolution and buildup of numerical noise have been overcome in GENEX (which...

Enabling a CCS Industry through Research at the CO2CRC National Otway Research Facility

Matthias Raab, Charles Jenkins, Roman Pevzner, Abdul Qader

Australian Petroleum Production & Exploration Association (APPEA) Journal

.... These methods are riskfocused, intended to monitor a spatially specific region of concern to stakeholders. As experience with CCS grows, risk...

Impact of an Integrated Seismic Data Processing Approach: A Case Study in Central Sumatra

Mars E. Semaan, Eddy Murhantoro, Maryanto, Achmad Bermawi, Budi Subianto, Hari Santoso

Indonesian Petroleum Association

... were pre-stack migrated. These gathers were then analyzed for Amplitude Variation with Offset (AVO) to understand the lithology, both spatially...

Copper Mountain, Wyoming, Uranium Deposit — Rediscovered

John A. Yellich, Ronald T. Cramer, Robert G. Kendall

Wyoming Geological Association

... the segmented, high-angle normal North Canning fault. Uranium is spatially related to the complex structure adjacent to the North Canning fault...

Mapping of Rock Property Changes in Space and Time Using Microseismic Data through Full-Waveform Inversion

Jyoti Behura

Unconventional Resources Technology Conference (URTEC)

... result in seismic activity might be below the noise threshold. Second, the imaged hypocenters are most likely inaccurate. This is because the imaging...

Abstract: AI-Driven Seismic Reservoir Characterization; #91210 (2025)

Hesham Moubarak

Search and Discovery.com

...-bed development, and challenging signal-to-noise seismic characteristics. The multidisciplinary workflow outlined in this study provides innovative...

Geosteering through Challenging Fractured Limestone Reservoir Becomes Achievable Utilizing High Definition Multi-Layer Boundary Mapping Technology … Case Study from a Deep Gas Reservoir; #41828 (2016)

Saad A. Al-Ajmi, Chinmaya Pattnaik, Ahmed E. Al-Dawood, Qasem Dashti, Abdul Aziz H. Al-Failakawi, Sandeep Chakravorty, Chandan J. Keot, Khaled M. El-Derini

Search and Discovery.com

... dips which helped immensely to optimize trajectory inclination and spatially position the wellbore across different layers as per plan. Apart from...

Data analytics and geostatistical workflows for modeling uncertainty in unconventional reservoirs

Michael J. Pyrcz

CSPG Bulletin

... al. (2011) suggest workflows that spatially model well production measures such as EUR. This requires data preparation such as filtering...

Advances in Seismic Fault Interpretation Automation, by Randolph Pepper and Gaston Bejarano, #40170 (2005).

Search and Discovery.com

Seismic Models of a Shelf-margin Depositional Sequence: Upper San Andres Formation, Last Chance Canyon, New Mexico

Jan Stafleu , Mark D. Sonnenfeld

Journal of Sedimentary Research (SEPM)

... and transmission losses are negligible given the dimensions of the model. Random noise was not added to the data. Thus, the vertical-incidence profiles...

Pore-Scale Characterization of Shales Using Dendroidal Theoretical Pore-Network Model

Da Zheng, Yuliana Zapata, Zulfiquar A. Reza

Unconventional Resources Technology Conference (URTEC)

... reservoirs. With tortuosity implemented, dendroidal model composes the main flow paths with spatially random-distributed pore throats with radii larger than...

Multiple-point Geostatistics: A Quantitative Vehicle for Integrating Geologic Analogs into Multiple Reservoir Models

Jef Caers, Tuanfeng Zhang

AAPG Special Volumes

..., The application of Monte Carlo methods to the analysis of spatially correlated data: Ph.D. thesis, Stanford University, Stanford, California, 125 p.Strebelle...