The Study of the Influence of Stratigraphic Structure on Seismic Attribute Analysis, #42094 (2017).

Zhou Xuefeng, Ming Jun, Liu Jianhui, Zhou Jianke, He Jing

Search and Discovery.com

... analysis is an important tool for reservoir prediction. In the process of attribute analysis, the choice of attribute extraction parameters is always...

Demystifying child well degradation with novel feature engineering: Part 1 Š machine learning analysis for child well degradation with one parent well in the Delaware Basin

Yuxing Ben, Soodabeh Esmaili, Seth Brazell, Jichao Yin, Mei Han, Tyler Conner, Jake Li, Tim Hoang, Tasos Boulis, Folarin Adekoya, Erik Kinzler

Unconventional Resources Technology Conference (URTEC)

... feature of that sample negatively contributes to the prediction of that sample. For example, the parent-child horizontal distance is the most...

Interpretation and development of top-surface grid in subsurface ground profile using Inverse Distance Weighting (IDW) method for twin tunnel project in Kenny Hill Formation

Mohd Faiz Mohammad Zaki, Mohd Ashraf Mohamad Ismail, Darvintharen Govindasamy, Mohd Hazreek Zainalabidin

Geological Society of Malaysia (GSM)

...Interpretation and development of top-surface grid in subsurface ground profile using Inverse Distance Weighting (IDW) method for twin tunnel project...

Unlocking Efficiency in Gas Lift System Operation: A Data Driven Approach for Early Problem Identification Using Machine Learning and Digitalized Two-Pen Recorder Chart

Sri Dwi Mustaqim, Amega Yasutra

Indonesian Petroleum Association

...). Conventional monitoring and problem prediction activities often require a significant amount of time. The engineer can only identify the problems after...

Abstract: Inverse scattering Internal Multiple Prediction on Physical Modeling Data; #90174 (2014)

M. Hernandez, K. Innanen, and J. Wong

Search and Discovery.com

...Abstract: Inverse scattering Internal Multiple Prediction on Physical Modeling Data; #90174 (2014) M. Hernandez, K. Innanen, and J. Wong AAPG...

Hydraulic Flow Unit Rock Typing to Enhance Permeability Prediction, a Case Study In: Bunyu Field, Tarakan Sub-Basin

Nidya Tika Sari, Warto Utomo

Indonesian Petroleum Association

...Hydraulic Flow Unit Rock Typing to Enhance Permeability Prediction, a Case Study In: Bunyu Field, Tarakan Sub-Basin Nidya Tika Sari, Warto Utomo...

Predicting Carbonate-Rich Frac Baffles and Barriers via a Simple Integrated Screening Methodology

Evan Gross, Yunhui Tan, Jiehao Wang, Lewis Li

Unconventional Resources Technology Conference (URTEC)

... to the prediction may be warranted to account for the learnings from Ensemble 1 landing zone distance sensitivity and the Ensemble 2 results. The semiautomated...

Seismic fault proximity to production

Jesse Lomask, Toby Burrough, Allison Gilmore, Michael Pyrcz

International Meeting for Applied Geoscience and Energy (IMAGE)

... fast marching for a shortest path calculation to faults. This creates a 3D volume of distances with each value being the distance to the closest fault...

Residual oil prediction according to seismic attributes and oil productivity index based on PCA and BPNN

Xiaohuan Yan, Jianxiong Dong, Zhiwen Niu, Dongzhou Liu, Aiquan Chen, Aliyeva Gunay, Jinglin Cui, Yajie Wang, Jiangong Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Residual oil prediction according to seismic attributes and oil productivity index based on PCA and BPNN Xiaohuan Yan, Jianxiong Dong, Zhiwen Niu...

Statistical Appraisal of Seismic Prospects in Louisiana-Texas Outer Continental Shelf

John C. Davis , John W. Harbaugh

AAPG Bulletin

... structural shape is expressed by five parameters: area of closure, height of closure, length of bounding faults (BFD), and drainage distance; the fifth...

Landslide Hazard Zonation Mapping Using Remote Sensing and GIS Techniques

Jasmi Ab. Talib, Azlikamil Napiah

Geological Society of Malaysia (GSM)

... techniques for slope instability assessment and prediction in the chosen study area, Cameron Highlands. Slope instability can be considered as one...

Bayesian analysis of deep marine channel geometry from seismic data

Tong Wang, Celine Scheidt, Tapan Mukerji, Junling Fang

International Meeting for Applied Geoscience and Energy (IMAGE)

... this paper are the following: (1) Formulation of the decision problem and definition of the prediction variables. (2) Statement of the prior uncertainty...

The Prediction of Old Faithful’s Next Eruption

James H. Barbee

Earth Science Bulletin (WGA)

...The Prediction of Old Faithful’s Next Eruption James H. Barbee 1971 37 41 Vol. 4 (1971) No. 1. (March) A mathematical model of an eruption cycle...

Prediction of multiple origin overpressure in deep fold-thrust belt: A case study of Kuqa subbasin, Tarim Basin, northwestern China

Changyu Fan, Gang Wang, Zhenliang Wang, Xiaojie Han, Jie Chen, Kuaile Zhang, and Baoshou Zhang

AAPG Bulletin

... of the fold forelimb or the distance to the thrust fault cutoff, and a and b are the empirical coefficients. Prediction of ΔVES’ and Overpressure...

A Comprehensive and Systematic Reservoir Performance Prediction Workflow in Tangguh Ubadari Field, Delivering a Confidence in Unlocking Resource Progression and Prediction Forecast

Alit Dewanto, Dwi Marlia Sari, Asti Aprilia

Indonesian Petroleum Association

...A Comprehensive and Systematic Reservoir Performance Prediction Workflow in Tangguh Ubadari Field, Delivering a Confidence in Unlocking Resource...

Frac-Hit Dynamic Modeling using Artificial Intelligence and Machine Learning

Shahab Mohaghegh

Unconventional Resources Technology Conference (URTEC)

.... Overwhelming majority of operating companies simply use the distance between wells in order to address Frac-Hit. As the distance between the child...

Anisotropic Reservoir Characterization Based on Support Vector Machine Technique

Search and Discovery.com

... there are two groups for interpolation. One is deterministic methods, such as Inverse Distance Weight, another group is geo-statistic. The kriging...

New Techniques on Fracture Pattern Characterization: An Example of Comparison between Jurassic Nugget Sandstones (Utah … Rocky Mountains) and Eocene Mirador Formation Sandstones (Colombia … Llanos Foothills Basin)

Edgar Pinzon, Alberto Ortiz, Stephen Laubach

Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)

... on fracture permeability and flow pattern prediction. Here we compare fracture patterns in Nugget and Mirador Fm sandstones. Using petrography, fluid-inclusion...

Geologically constrained and machine learning-guided seismic fault interpretation

Anatoly Aseev, Josue Fonseca, Tapan Mukerji

International Meeting for Applied Geoscience and Energy (IMAGE)

... realistic faulted models and extract fault labels from them. We use a modified Hausdorff distance (MHD) (Dubuisson and Jain, 1994) to assess the similarity...

Abstract: GIS-based fuzzy logic modelling in the earth sciences with an application to acid rock drainage prediction in the Meguma Supergroup, Nova Scotia

Don Fox, Tim Webster

Atlantic Geology

...Abstract: GIS-based fuzzy logic modelling in the earth sciences with an application to acid rock drainage prediction in the Meguma Supergroup, Nova...

Abstract: Δ18O prediction from corelog data -- high-resolution paleoclimate proxy generation

M. E. Weber

Atlantic Geology

...Abstract: Δ18O prediction from corelog data -- high-resolution paleoclimate proxy generation M. E. Weber 74 2000 AGS & GAC (EESD) ABSTRACTS !l 180...

Parameters Influencing Porosity in Sandstones: A Model for Sandstone Porosity Prediction: ERRATUM

M. Scherer

AAPG Bulletin

...Parameters Influencing Porosity in Sandstones: A Model for Sandstone Porosity Prediction: ERRATUM M. Scherer 1987 1508 1508 71 12. (December) In M...

Abstract: Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations; #91206 (2023)

Abdelhakim Khouissat, Youcefi Mohamed Riad, Ghoulem Ifrene

Search and Discovery.com

...Abstract: Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations; #91206 (2023) Abdelhakim...

Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction

Oliver Rojas Conde, Henry Galvis Silva, Sebastien Matringe

Unconventional Resources Technology Conference (URTEC)

...Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction Oliver Rojas Conde, Henry Galvis...

Prediction of Pre-Salt Carbonate Reservoirs in Kenkiyak, Kazakhstan presented by Zhenglian Pang

Search and Discovery.com