Modeling the Semivariogram: New Approach, Methods Comparison, and Simulation Study

A. Gribov, K. Krivoruchko, J. M. Ver Hoef

AAPG Special Volumes

... (accessed July 2004).SAS Institute Inc., 1996, SAS/STAT technical report: Spatial prediction using the SAS system: Cary, North Carolina, SAS Institute...

Advanced Dual-Porosity and Dual-Permeability Model for Tight Rock Integrated Primary Depletion and Enhanced Oil Recovery Simulation

Daegil Yang, Tyler Do, Changdong Yang, Hao Sun, Keith Ramsaran, Xundan Shi, Dengen Zhou, Jianping Chen, Mathis Lee

Unconventional Resources Technology Conference (URTEC)

... equations (see Appendix). The EDFM formulation uses a concept of average normal distance to estimate the complex of hydraulic fracture geometry...

Understanding the Drivers of Parent-child Depletion: A Machine Learning Approach

Dillon Niederhut, Alexander Cui

Unconventional Resources Technology Conference (URTEC)

... of the infill well as compared to the parent. Distance to the closest parent produces a nonlinear effect on child production, and one which is mediated...

A Qualitative Computer Simulation for Understanding Sequence Stratigraphy Concepts and Parameters; #41153 (2013)

Phil Moore, Christopher Kendall, and Enrica Viparelli

Search and Discovery.com

... setting and predictions of lithofacies geometries away from the studied areas. It aids prediction of facies likely to contain both hydrocarbon and water...

Production Forecasting in Shale Reservoirs through Conventional DCA and Machine/Deep Learning Methods

Cenk Temizel, Celal Hakan Canbaz, Onder Saracoglu, Dike Putra, Ali Baser, Tomi Erfando, Shanker Krishna, Luigi Saputelli

Unconventional Resources Technology Conference (URTEC)

... past experience to avoid explicit programming requirements. ML has travelled through a long distance from merely being showcased in science fantasies...

Trace Element Composition of Detrital Magnetite from Coastal Sediments of Northwestern Japan Sea for Provenance Study

N. G. Razjigaeva, V. V. Naumova

Journal of Sedimentary Research (SEPM)

..., and in river mouth spits. The following bays of the northwestern Japan Sea, having different provenance rock compositions, distance to accumulation...

Machine-Learning Based Analytics Applied to Stimulation Performance in the Utica Shale: Case Study and Lessons Learned

Sebastien Perrier, Arnaud Delpeint, Zulibukaer Shawuti, Ashis Shrestha

Unconventional Resources Technology Conference (URTEC)

... trend from the measured well performance dataset leads to models that can have a significantly higher prediction accuracy (Figure 6...

Coupled channel–floodplain dynamics and resulting stratigraphic architecture viewed through a mass-balance lens

Kyle M. Straub, Ripul Dutt, Robert A. Duller

Journal of Sedimentary Research (SEPM)

... production in mass-balance space provides a process-based framework to explain the utility of balancing mass for the prediction of down-system sediment...

An Integrated Approach Towards Digital Outcrop Method In Natural Fracture Characterization: An Example From The Pre-Tertiary Alas Formation of North Sumatra Basin

Ilyas Anindita, Leon Taufani, Muhammad Gazali Rachman, Purnama Suandhi, Erlangga Septama

Indonesian Petroleum Association

... and the development of the fractures were thought to have been strongly influenced by the distance of the fault and surface deformation both laterally...

Coupled Reactive Flow and Transport Modeling of CO2 Sequestration in the Mount Simon Sandstone Formation, Midwest, USA; #80169 (2011)

Faye Liu, Peng Lu, Chen Zhu, and Yitian Xiao

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... of secondary clay minerals, to a much more extent than what predicted in models without including regional flow. However, the prediction of complete...

Low-Porosity Haloes at Stylolites in the Feldspathic Upper Jurassic Ula Sandstone, Norwegian North Sea: An Integrated Petrographic and Chemical Mass-Balance Approach

Nicholas B. Harris

Journal of Sedimentary Research (SEPM)

..., Walderhaug, O., and Murphy, W.M., 1998, Porosity prediction in quartzose sandstones as a function of time, temperature, depth, stylolite frequency...

Geologic modeling and fluid-flow simulation of acid gas disposal in western Wyoming

Shuiquan Li, Ye Zhang, Xu Zhang, Changan Du

AAPG Bulletin

... parameter uncertainty, the total predicted gas storage varies significantly. Prediction uncertainty increases in the order of dissolved gas, trapped...

Wave scattering by the formation velocity perturbation surrounding a fluid-filled borehole

Zhou-Tuo Wei

International Meeting for Applied Geoscience and Energy (IMAGE)

... and Richards, 1980; Wu, 1982a, b; Wu and Aki, 1985; Li, 2002; Sato et al., 2012), and is usually applied to earthquake prediction, mineral resources...

Differential Entrapment of Oil and Gas: DISCUSSION

Joseph S. Irwin

AAPG Bulletin

... by Gussow, but the long distance "stream" effect requiring ideal structural conditions and arrangement patterns as between structural traps seems to have been...

Water Influx Predictions in Reservoirs with Aquifer Drive Using the Two-Phase Reservoir Integral Type Pseudo-Pressure with Applicability in Gas Hydrate Reservoirs; #42006 (2017)

Melvin Kome, Mohd Amro

Search and Discovery.com

.... Introduction  Aquifer Influx Prediction Models  Gas Hydrate Reservoir Types  Multiphase Pseudo-Pressure  Objectives 2. Methodology 3. Results...

Unlocking the Potential of Unlabeled Data in Building Deep Learning Model for Dynamometer Cards Classification

Ramdhan Wibawa, Rosyadi Rosyadi, Maulirany Nancy, Muhammad Awqi Gibran, Supriono Hariyadi

Indonesian Petroleum Association

... learning is divided into two types: Contrastive learning Essentially, contrastive learning is trained by minimizing the distance of two visual...

Forming Conditions, Types and Characteristics of Lithological Reservoirs in Melut Basin: Implications for Hydrocarbon Exploration in Mature Rift Basins of Africa; #11209 (2019)

Zhongsheng Shi

Search and Discovery.com

... due to short distance transportation  It is necessary to carry out prediction and evaluation on sandstone distribution and reservoir quality...

Using the Adaptive Variable Structure Regression Approach in Data Selection and Data Preparation for Improving Machine Learning-Based Performance Prediction in Unconventional Plays

Cyrus Ashayeri, Mehdi Korjani, Iraj Ershaghi

Unconventional Resources Technology Conference (URTEC)

... Prediction in Unconventional Plays Cyrus Ashayeri, Mehdi Korjani, Iraj Ershaghi URTeC: 5235 Using the Adaptive Variable Structure Regression Approach...

An Application of Statistical Modelling to the Prediction of Hydrocarbon Recovery Factors in Fluvial Reservoir Sequences

Christopher R. Fielding, Richard C. Crane

Special Publications of SEPM

...An Application of Statistical Modelling to the Prediction of Hydrocarbon Recovery Factors in Fluvial Reservoir Sequences Christopher R. Fielding...

Enhanced Monitoring of Geologic Carbon Sequestration Using 3-D Passive Microseismic Location Techniques

Delaine Reiter and William Rodi

Search and Discovery.com

... environments Storage injection rates much lower than typical hydrofrac Stand-off passive monitoring distance similar to hydrofrac (but the closer...

Geostatistical Simulation of Reservoir Porosity Distribution from 3-D, 3-C Seismic Reflection and Core Data in the Lower Nisku Formation at Joffre Field, Alberta

Raul Cabrera-Garzon, John F. Arestad, Kadri Dagdelen, Thomas L. Davis

AAPG Special Volumes

... Prediction in Sandstones and Carbonates, 1997 Rock properties such as lithology and porosity can be obtained from comparative P- and S-wave traveltimes...

Integrating Geoscience and Machine Learning beyond XYZ: Enhancing Production Insights in the Haynesville Play

Alex Blizzard and Toby Burrough

GCAGS Transactions

... sourced from regulatory agencies included monthly gas production rates, while an example of derivative data, such as spacing distance to nearest...

Quantitative Prediction of Three-Dimensional Facies Architecture and Heterogeneity in Meandering Fluvial Successions, #51497 (2018).

Na Yan, Nigel P. Mountney, Luca Colombera

Search and Discovery.com

...Quantitative Prediction of Three-Dimensional Facies Architecture and Heterogeneity in Meandering Fluvial Successions, #51497 (2018). Na Yan, Nigel P...

3D Pore Pressure Prediction Model in Bentu Block … Central Sumatra Basin

Wawan A. Behaki, Aldyth Sukapradja, Ronald C. Siregar, Radig Wisnu Y, Setiabudi Djaelani, Benny A. Sjafwan

Indonesian Petroleum Association

...3D Pore Pressure Prediction Model in Bentu Block … Central Sumatra Basin Wawan A. Behaki, Aldyth Sukapradja, Ronald C. Siregar, Radig Wisnu Y...

Abstract: Influence of Lithology and Pore Geometry on NMR Prediction of Permeability and Effective Porosity in Mississippian Carbonates, Kansas, by W. J. Guy, A. P. Byrnes, J. H. Doveton, and E. K. Franseen; #90937 (1998)

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