Utica-Pt. Pleasant Condensate Yield Prediction Using 3-D Maturity Modeling; #41774 (2016)

Grant Zimbrick, Mike Tischer

Search and Discovery.com

...Utica-Pt. Pleasant Condensate Yield Prediction Using 3-D Maturity Modeling; #41774 (2016) Grant Zimbrick, Mike Tischer PS Utica-Pt. Pleasant...

A Model Ranking Approach for Liquid Loading Onset Predictions

Hao Jia, Jianjun Zhu, Guangqiang Cao, Yingda Lu, Bo Lu, Haiwen Zhu

Unconventional Resources Technology Conference (URTEC)

... and development in natural gas industry, the liquid loading onset prediction models prevail in the existing literature. Mainly based on the droplet falling...

Formation pressure modeling using offshore seismic data

Weilai Pei, Lei Han, Chunyuan Liu

International Meeting for Applied Geoscience and Energy (IMAGE)

..., Sinopec Summary Predrilling pore pressure prediction is of great importance in reservoir exploration. High-accuracy pressure prediction prevents...

Rate of Penetration (ROP) Modeling Using Hybrid Models: Deterministic and Machine Learning

Chiranth Hegde, Cesar Soares, K. E. Gray

Unconventional Resources Technology Conference (URTEC)

... and predictive analytics to enhance ROP prediction and optimization. However, the improved predictive accuracy achieved with statistical techniques comes...

Water Washing: A Major Hydrocarbon Alteration Process. Part 2 … Processes, Controls and Hydrocarbon Type Prediction, #41750 (2015).

Lindsay G. Elliott

Search and Discovery.com

...Water Washing: A Major Hydrocarbon Alteration Process. Part 2 … Processes, Controls and Hydrocarbon Type Prediction, #41750 (2015). Lindsay G...

Compositional Classification for Fine-Grained Sediments and Sedimentary Rocks: Foundation for Bulk Rock Property Prediction, #51130 (2015).

Kitty Milliken

Search and Discovery.com

...Compositional Classification for Fine-Grained Sediments and Sedimentary Rocks: Foundation for Bulk Rock Property Prediction, #51130 (2015). Kitty...

Identifying Flow Units of Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm; #51610 (2019)

Yan Lu, Keyu Liu, Ya Wang

Search and Discovery.com

... prediction. The results show that: (1) According to the genetic type and sedimentary model of the turbidite channel, the reservoir in the study area can...

Stone Canyon Observatory

Robert Nason, Don Tocher

Pacific Section SEPM

... may be useful in earthquake prediction. The President's Science Advisory Committee on Earthquake Prediction (headed by Frank Press of MIT) recommended...

Stone Canyon Observatory

Robert Nason, Don Tocher

Pacific Section of AAPG

... measuring those geophysical phenomena which may be useful in earthquake prediction. The President’s Science Advisory Committee on Earthquake Prediction...

Locating Recharged Areas in a Mature Water Flood Project, a Case History

Dianne Calogero, Greg Stevens, Eric Laine

West Texas Geological Society

... recompleted, and a few new wells were drilled. Current production is nearly 800 BOPD and prediction accuracy has been higher than 75%. Required input...

Cascaded deep learning for fast-track structure model building from 2D seismic data

Tao Zhao, Leigh Truelove

International Meeting for Applied Geoscience and Energy (IMAGE)

..., consistently correlating seismic events between such distance is very difficult, if not impossible. Moreover, 2D seismic data in the same area may...

Integrating deep directional resistivity with machine learning for improved well placement in the Nikaitchuq Field, North Slope Alaska

Christopher McCullagh, Joshua Zuber

International Meeting for Applied Geoscience and Energy (IMAGE)

... before being compared to each other. For each ML algorithm the inclusion of the DDR data increased the accuracy of the prediction. The initial average...

Permeability Log Calculation by Integrating Lithology, Well Logs and DST Data … An Application to Sandstone Reservoir in Abadi Field Eastern Indonesia

Takahiro Zushi, Masato Okuno, Koichi Kihara, Tatsuya Konishi, Toru Ito

Indonesian Petroleum Association

.... b) Distance calculation between a query point and the training data. c) FZI Prediction at the query point by weighted averaging of the k- nearest...

The new method of sandbody connectivity characterization for fluvial reservoir and its application in Bohai oilfield

Xuetong Liu, Hebing Tang, Xuefeng Zhou, Zhenglong Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... a sandbody connectivity characterization method by the integration of CEEMD-CSWT denoising technique and voxel density attribute. The new method prediction...

ABSTRACT: Coke Carbon Form Analysis as a Means for Understanding Maceral Behavior and Coal Carbonization

Dennis D. Kaegi and Hardarshan S. Valia

The Society for Organic Petrology (TSOP)

... via coal analyses have been developed in the past and a second generation of these techniques is currently being developed to allow for prediction...

Spectral Analysis of Wireline Logs — An Innovative Approach to Analyzing Fossil Depositional Systems: Abstract

Nio Swie Djin, Herman Soediono, Antoine A. H. Wonders

Indonesian Petroleum Association

.... The rate of change can be expressed as a number, the prediction error. Points on the wireline log trace with maximum prediction error often represent...

Surface Prediction using Rejection Sampling to Handle Non-linear Constraints

Petter Abrahamsen, Pål Dahle, Vera Louise Hauge, Ariel Almendral-Vazquez, Maria Vigsnes

CSPG Bulletin

...Surface Prediction using Rejection Sampling to Handle Non-linear Constraints Petter Abrahamsen, Pål Dahle, Vera Louise Hauge, Ariel Almendral-Vazquez...

Influence of Pore Geometry and Structure on Capillary Pressure J-Function Prediction: An Applicable Technique for a Case Study of the Baturaja Formation in the Jabung Block

Catur Kristiawan, Hilmy Khairi, Aldi Fathurrahman, Sesilia Nandya

Indonesian Petroleum Association

...Influence of Pore Geometry and Structure on Capillary Pressure J-Function Prediction: An Applicable Technique for a Case Study of the Baturaja...

Application of Machine Learning to Predict Cementation Factor along Well Intervals and its Implications for Sand Problem, Study Case: Wanda Complex Field, Indonesia

Aditya Wicaksono, Alfigo Tryozi S. Z., Bhaskara Aji, Leonardus Gilang Ginting P., Arif Yondo

Indonesian Petroleum Association

... measurements. Next, the machine learning models are assessed for performance by examining the accuracy of their prediction outcomes. Once the reliability...

Method of Probability-Analytical Prediction of Number and Dimensions of Anticlines Favorable for Oil and Gas in Platform Regions

N. Ya. Kunin, Krasil’nikova

Petroleum Geology: A Digest of Russian Literature

...Method of Probability-Analytical Prediction of Number and Dimensions of Anticlines Favorable for Oil and Gas in Platform Regions N. Ya. Kunin, Krasil...

Prediction of the Deep Subsurface of the Paleozoic of the Karpinskiy Ridge Based on Geological-Geophysical Data

G. V. Martovskiy, S. G. Ryabukhina

Petroleum Geology: A Digest of Russian Literature

...Prediction of the Deep Subsurface of the Paleozoic of the Karpinskiy Ridge Based on Geological-Geophysical Data G. V. Martovskiy, S. G. Ryabukhina...

Rock Physics Modeling in Unconventionals: A Midland Basin Case Study

Paritosh Bhatnagar, Venkatesh Anantharamu, Ron Bianco

Unconventional Resources Technology Conference (URTEC)

... calibrated rock physics model, one can quantify seismic to rock property estimations for reservoir characterization such as TOC prediction. Introduction...

Pore Pressure Prediction Geology and Modeling Assessment

Selim S. Shaker

GCAGS Transactions

...Pore Pressure Prediction Geology and Modeling Assessment Selim S. Shaker 2024 111 119 Vol. 73 (2024) The objective of this model is to establish...

ABSTRACT: Quantitative Dynamic Stratigraphy: A Workshop, A Philosophy, A Methodology, by Timothy A. Cross and John W. Harbaugh; #91022 (1989)

Search and Discovery.com

Pore-Pressure and Thermal Analysis for Understanding of Overpressure Mechanisms in West Baram Delta

Nurhajeerah Mhd Hanapiah, Kurniawan Adha, Wan Ismail Wan Yusoff

Geological Society of Malaysia (GSM)

... is a common method for overpressure prediction, however, the contribution of thermal parameters in understanding the mechanisms of overpressure would complement...