Sentence examples for reservoir structure from inspiring English sources

The framework is composed of (1) a preprocessor of the internal boundaries of a 2D oil reservoir structure, (2) a 2D structural quadrilateral grid generator, (3) a solver of the 2D convection diffusion equation (CDE) on the grid, and (4) a visualization module to display the reservoir properties, wells and the simulation results on the grid.

Evaluation of reservoir structure and fracture zones is necessary in oil production optimization and field development.

In addition, factors of desorption, diffusion, and seepage network related to reservoir structure determine the development difficulty.

In this study, a new CLT is designed and reservoir structure is adopted to improve the steady-state heat transfer performance.

Reservoir computing became very popular due to its potential for efficient design of recurrent neural networks, exploiting the computational properties of the reservoir structure.

The coal reservoir structure is the basic factor affecting productivity of coal-bed methane wells while gas content and permeability are direct geological factors controlling coalbed methane well production.

The seismic performance of underground reservoir structures depends on the properties of the structure, soil, and ground motion as well as the kinematic constraints imposed on the structure.

The insight from this experimental study is aimed to help validate analytical and numerical methods used in the seismic design of reservoir structures.

A series of four centrifuge experiments were performed to evaluate the influence of site response, structural stiffness, base fixity, and excitation frequency on the performance of relatively stiff reservoir structures buried in dry, medium-dense sand.

The asymmetric spatial Markov chain (SMC) approaches employ transition probabilities to incorporate proportion, length and juxtaposition relation information in subsurface reservoir structures.

The proposed approach is not exclusive to any specific types of reservoir models and could be applied to oil and gas/gas condensate reservoirs with a variety of well geometries and reservoir structures, provided that the model is trained again using the new training examples of the considered reservoir models.