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A quasi-Newton trust-region method for optimization under uncertainty using stochastic simplex approximate gradients
The goal of field-development optimization is maximizing the expected value of an objective function, e.g., net present value for a producing oil...
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Optimization of saw dust ash and quarry dust pervious concrete’s compressive strength using Scheffe’s simplex lattice method
This study presents optimization of mechanical properties of quarry dust (QD) and saw dust ash (SDA) blended pervious concrete for sustainable road...
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Distribution of algae and cyanobacteria of biological soil crusts along the elevation gradient in mountain plant communities at the Northern Urals (Russian European Northeast)
This paper describes the biodiversity of cyanobacteria and microalgae of biological soil crusts (BSC) on bare substrates in different mountain...
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Carbonate lithofacies identification using an improved light gradient boosting machine and conventional logs: a demonstration using pre-salt lacustrine reservoirs, Santos Basin
Due to limitations imposed by cored wells, lithological data are often incomplete, and correct identification of lithofacies is problematic....
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Multi-objective optimization of subsurface \(\text {CO}_{2}\) capture, utilization, and storage using sequential quadratic programming with stochastic gradients
Carbon capture, utilization, and storage (CCUS) is a crucial part of the energy industry nowadays, aiming to reduce the overall carbon emission into...
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An Inverted Heterogeneous Velocity Model for Microseismic Source Location in Deep Buried Tunnels
Microseismic (MS) monitoring is an effective and widely applied technology for early warning and prevention of rockburst disasters in deeply buried...
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Impact of heterogeneity upon the accuracy of the Eikonal solution using the Fast Marching Method
The Fast Marching Method (FMM) is an efficient tool for the solution of the Eikonal equation to characterize frontal propagation in heterogeneous and...
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Cyanobacteria and Algae in Biological Soil Crusts of Frost Boils in the Mountain Tundra of the Urals
AbstractThe diversity of cyanobacteria and eukaryotic algae has been studied in biological soil crusts formed on bare surface of frost boils in...
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Biozonation, microfacies analysis and depositional environment of the Cenomanian sediments (Sarvak Formation) in South Zagros Basin (SW Iran)
In this study, the Sarvak Formation in the Kuh-e Zana stratigraphic section has been investigated in terms of Cenomanian biostratigraphy, microfacies...
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Mechanical strength optimization and simulation of cement kiln dust concrete using extreme vertex design method
Extreme vertex design (EVD) method was adapted for the experimental investigation involving the incorporation of industrial waste known as cement...
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Gradient-free strategies to robust well control optimization
In this work, the well control optimization of the Olympus challenge is solved by two non-intrusive strategies that use the simulator as a black box....
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Improved sampling strategies for ensemble-based optimization
We are concerned with the efficiency of stochastic gradient estimation methods for large-scale nonlinear optimization in the presence of uncertainty....
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Spatial patterns of phytoplankton communities in an International Seabed Authority licensed area (COMRA, Clarion-Clipperton Zone) in relation to upper ocean biogeochemistry
The Clarion-Clipperton Zone (CCZ) hosts one of the largest known oceanic nodule fields worldwide and is regulated by the International Seabed...
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Interpretable XGBoost–SHAP machine learning technique to predict the compressive strength of environment-friendly rice husk ash concrete
Global greenhouse gas emissions from the construction concrete industry are 50% higher than those from all other industries combined. Concrete...
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A machine-learning-accelerated distributed LBFGS method for field development optimization: algorithm, validation, and applications
We have developed a support vector regression (SVR) accelerated variant of the distributed derivative-free optimization (DFO) method using the...
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A method for develo** and calibrating optimization techniques for oil production management strategy applications
The hydrocarbon extraction process is complex and involves numerous design variables and mitigating risk. Numerous time-consuming simulations are...
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New Velocity Structure of the Nový Kostel Earthquake-Swarm Region, West Bohemia, Determined by the Isometric Inversion
The intraplate West Bohemia region is characterized by relatively frequent earthquake swarms mostly concentrated in the vicinity of the Nový Kostel...
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A Second-Order Finite Volume Method for Field-Scale Reservoir Simulation
Subsurface reservoirs are large complex systems. Reservoir flow models are defined on complex grids that follow geology with relatively large block...
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Distributed quasi-Newton derivative-free optimization method for optimization problems with multiple local optima
The distributed Gauss-Newton (DGN) optimization method performs quite efficiently and robustly for history-matching problems with multiple best...
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Application of IDEAL algorithm based on the collocated unstructured grid for incompressible flows
The inner doubly iterative efficient algorithm (IDEAL), an advanced fully implicit algorithm for solving the pressure-velocity coupling problem,...