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Welcome to the new Datapages Archives

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The AAPG/Datapages Combined Publications Database

Showing 5,071 Results. Searched 196,431 documents.

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Assessing the internal character, reservoir potential, and seal competence of mass-transport deposits using seismic texture: A geophysical and petrophysical approach

Tiago M. Alves, Kuncho Kurtev, Gregory F. Moore, Michael Strasser

AAPG Bulletin

... recovery, time-variant filtering, and predictive deconvolution), followed by 3-D prestack depth migration (Moore et al., 2007).Figure 2. Location maps...

2014

Passive Margins: Erosion of the Southern Florida Escarpment

William Corso, Richard T. Buffler, and James A. Austin, Jr.

AAPG Special Volumes

... (Nominal 12 Fold) 5) Predictive Deconvolution 6) Time Migration 7) 3-Trace Weighted Mix 8) Time variable Bandpass Filters Water Bottom: 5/10-55/70 Hz 1.0...

1987

Predictive Isopach Mapping of Gas Sands from Seismic Impedance: Modeled and Empirical Cases from Ship Shoal Block 134 Field

Robert D. Woock , Alan R. Kin

AAPG Bulletin

...Predictive Isopach Mapping of Gas Sands from Seismic Impedance: Modeled and Empirical Cases from Ship Shoal Block 134 Field Robert D. Woock , Alan R...

1987

Application of Analytic Hierarchy Process to Identify the Most Influencing Human Factors (HFs) and Performance Influencing Factors (PIFs) in Process Safety Accidents

Stephen C. Theophilus, Olayinka G. Abikoye, Andrew O. Arewa, Augustine O. Ifelebuegu, Victor Esenowo

Africa Energy and Technology Conference, 2016

... Likert scale (Table 4). The Likert scale makes use of an approach whereby an agreement is made by response to every satisfactory practice of the considered...

2016

Benchmarking and Calibration of 3D Geomechanical Models; #42113 (2017)

Rene Alcalde, Ewerton Araujo

Search and Discovery.com

... strain levels without the effort of restauration models. It is important to know that the calibration practice requires the modeler to judge how...

2017

Eagle Ford and Bakken Productivity Prediction Using Soil Microbial Fingerprinting and Machine Learning

M.H.A.A. Zijp, T. Mallinson, J. Zwaan, A.G. Chitu, P. David

Unconventional Resources Technology Conference (URTEC)

... samples were used to train the machine learning model based on the corresponding generated DNA fingerprints. The trained model achieved a predictive...

2021

A Deep Learning-Based Surrogate Model for Rapid Assessment of Geomechanical Risks in Geologic CO2 Storage

Fangning Zheng, Birendra Jha, Behnam Jafarpour

Carbon Capture, Utilization and Storage (CCUS)

...) 10) 10) 10) 10) 10) 10) 10) 10) 10) 10) 10) 10) 10) 10) Deconvolution block Deconvolution block Deconvolution block Deconvolution block Layer type...

2024

The Next Generation of Risk-Based Inspection for Coal Seam Gas Wells

Scott Collins, Joel Everson

Australian Petroleum Production & Exploration Association (APPEA) Journal

... predictive models to prioritise assets and components for inspection using live process data and a consistent RBI approach across all static pressure...

2020

Evolution of E & P Risk Analysis (1960-2017), #42063 (2017).

Peter R. Rose

Search and Discovery.com

... professional staff and executives, and management of E & P as a portfolio of uniformly assessed ventures. In practice today it combines long-standing...

2017

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