Larry W. Lake
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View article: Machine Learning-Based Estimation of Oil Recovery Factor Using XGBoost: Insights from Classification and Data-Driven Analyses
Machine Learning-Based Estimation of Oil Recovery Factor Using XGBoost: Insights from Classification and Data-Driven Analyses Open
In petroleum engineering, it is essential to determine the ultimate recovery factor (RF) particularly before exploitation and exploration. However, accurately estimating requires data that may not be necessarily available or measured at ea…
View article: Bayesian variable pressure decline-curve analysis for shale gas wells
Bayesian variable pressure decline-curve analysis for shale gas wells Open
Decline-curve analysis and production forecasting are usually performed from a deterministic standpoint (point estimation). This approach does not quantify the uncertainty of the model's parameters and thus, the model's estimated ultimate …
View article: Bluebonnet: Scaling solutions for production analysisfrom unconventional oil and gas wells
Bluebonnet: Scaling solutions for production analysisfrom unconventional oil and gas wells Open
Unconventional oil and gas wells are only productive due to extensive hydraulic fracturing treatments.Therefore, the character of their production over time is greatly influenced by engineering decisions.However, it can be difficult to sep…
View article: Evolution of electrical resistivity and NMR during early-stage maturation of an organic-rich chalk
Evolution of electrical resistivity and NMR during early-stage maturation of an organic-rich chalk Open
This paper studies the changes in the electrical resistivity of an organic-rich source rock chalk containing a Type-IIs kerogen during early-stage maturation of the kerogen. As bitumen is generated during maturation, the chalk changes from…
View article: Estimating oil recovery factor using machine learning: Applications of XGBoost classification
Estimating oil recovery factor using machine learning: Applications of XGBoost classification Open
In petroleum engineering, it is essential to determine the ultimate recovery factor, RF, particularly before exploitation and exploration. However, accurately estimating requires data that is not necessarily available or measured at early …
View article: Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability Open
With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizations. A key reservoir property is hydrocarbon recovery facto…
View article: Analysis of Vertical Permeability and Its Influence on CO2 Enhanced Oil Recovery and Storage in a Carbonate Reservoir
Analysis of Vertical Permeability and Its Influence on CO2 Enhanced Oil Recovery and Storage in a Carbonate Reservoir Open
Summary The objective of this study is to improve understanding of the geostatistics of vertical (bed-normal) permeability (kz) and its influence on reservoir performance during CO2 enhanced oil recovery (EOR) and storage. kz is scrutinize…
View article: The Effect of Compressibility and Outer Boundaries on Incipient Viscous Fingering
The Effect of Compressibility and Outer Boundaries on Incipient Viscous Fingering Open
Summary The knowledge of the effects of instability and heterogeneity on displacements, primarily enhanced oil recovery, and carbon dioxide storage are well known, although they remain difficult to predict. The usual recourse to modeling t…
View article: Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches
Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches Open
Permeability prediction has been an important problem since the time of Darcy. Most approaches to solve this problem have used either idealized physical models or empirical relations. In recent years, machine learning (ML) has led to more …
View article: On the sustainability of CO2 storage through CO2 – Enhanced oil recovery
On the sustainability of CO2 storage through CO2 – Enhanced oil recovery Open
This work uses pilot examples of CO2 enhanced oil recovery to analyze whether and under which circumstances it is exergetically favorable to sequester CO2 through enhanced oil recovery. We find that the net storage efficiency (ratio betwee…
View article: Carbon Life Cycle Analysis of CO<sub>2</sub>-EOR for Net Carbon Negative Oil (NCNO) Classification (Final Report)
Carbon Life Cycle Analysis of CO<sub>2</sub>-EOR for Net Carbon Negative Oil (NCNO) Classification (Final Report) Open
This final report summarizes the work that was conducted to achieve the project’s general objective of developing a clear and repeatable methodology to determine whether the oil produced in a conventional CO2 enhanced oil recovery (CO2-EOR…
View article: Impact of Relative Permeability Uncertainty on CO Trapping Mechanisms in a CO-EOR Process: A Case Study in the U.S. Gulf Coast Cranfield
Impact of Relative Permeability Uncertainty on CO Trapping Mechanisms in a CO-EOR Process: A Case Study in the U.S. Gulf Coast Cranfield Open
Southeast Regional Carbon Sequestration Partnership: Impact of Relative Permeability Uncertainty on CO2 Trapping Mechanisms
View article: A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting
A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting Open
Capacitance resistance models (CRMs) comprise a family of material balance reservoir models that have been applied to primary, secondary and tertiary recovery processes. CRMs predict well flow rates based solely on previously observed prod…
View article: Countercurrent Flow Enhances CO2 Accumulation During Upward Migration in Storage Aquifers
Countercurrent Flow Enhances CO2 Accumulation During Upward Migration in Storage Aquifers Open
Using high-resolution numerical simulation, we model the purely buoyant flow of CO2 in a two-dimensional (2D) closed aquifer domain. The domain is composed of two heterogeneous layers with different average permeabilities. The high permeab…
View article: An approach to modeling production decline in unconventional reservoirs
An approach to modeling production decline in unconventional reservoirs Open
Most decline curve methods have two main limitations; the model parameters as a rule are not functions of reservoir parameters and may yield unrealistic (nonphysical) values of expected ultimate recovery (EUR) because boundary-dominated fl…