Sentence examples for matching and optimization from inspiring English sources
History matching and optimization problems often involve several, potentially conflicting, objectives.
Its main functions include: schedule making and adjusting, matching and optimization, abnormal logistics handling and production information management.
Some optimization methods such as the Latin hypercube design, brute force search, random search, and PSO have been available for history matching and optimization tasks in CMOST studio.
Considering the vibration and left ear noise as the objective function, parameter matching and optimization of the mounting system were carried out to achieve better vibration isolation performance.
This paper enables operators to develop an early better understanding of the effects of gas desorption and geomechanics on shale gas well performance, and provides insights into history matching and optimization of hydraulic fracturing treatment design for shale gas production.
Optimization, history matching and optimal design of the reservoir require to run the forward model for many times.
The closed-loop entails the application of history matching and production optimization in a near-continuous feedback process.
This initial 3D reconstruction is based on a Structure-from-Motion (SfM) algorithm that triangulates the 3D position of image features in photographs through feature extraction, matching, and an optimization process called Bundle Adjustment.
Subsequently, those theoretical findings were applied in the matching and architecture optimization of a regulable two-stage turbocharging system, which comprises a high-pressure variable geometry turbocharger (VGT), a low-pressure fixed geometry turbocharger and an inter-stage cooler, for a heavy-duty diesel engine.
Both automatic history matching and reservoir production optimization are optimization problems as mentioned by researchers such as Brouwer and Jansen (2004), Sarma et al. (2005) and Wang et al. (2009).
Scharstein and Szeliski [3] have provided an excellent survey of stereo algorithms and a taxonomy was given based on matching cost, aggregation, and optimization.
