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Words near each other
・ Seismic metamaterials
・ Seismic Micro-Technology
・ Seismic microzonation
・ Seismic migration
・ Seismic moment
・ Seismic noise
・ Seismic rail sensing
・ Seismic refraction
・ Seismic response of landfill
・ Seismic retrofit
・ Seismic risk
・ Seismic scale
・ Seismic Seconds
・ Seismic site effects
・ Seismic source
Seismic to simulation
・ Seismic tomography
・ Seismic trace
・ Seismic Unix
・ Seismic vibrator
・ Seismic wave
・ Seismicity of the Sanriku coast
・ Seismicity of the Sumatra coast
・ Seismite
・ Seismo Creek
・ Seismo-electromagnetics
・ Seismoelectrical method
・ Seismogenic layer
・ Seismogram
・ Seismological Society of America


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Seismic to simulation : ウィキペディア英語版
Seismic to simulation

Seismic to simulation is the process and associated techniques used to develop highly accurate static and dynamic 3D models of hydrocarbon reservoirs for use in predicting future production, placing additional wells, and evaluating alternative reservoir management scenarios. The process is successful if the model accurately reflects the original well logs, seismic data and production history.
==Introduction==

Reservoir models are constructed to gain a better understanding of the subsurface that leads to informed well placement, reserves estimation and production planning. Models are based on measurements taken in the field, including well logs, seismic surveys, and production history.
Seismic to simulation enables the quantitative integration of all field data into an updateable reservoir model built by a team of geologists, geophysicists, and engineers. Key techniques used in the process include integrated petrophysics and rock physics to determine the range of lithotypes and rock properties, geostatistical inversion to determine a set of plausible seismic-derived rock property models at sufficient vertical resolution and heterogeneity for flow simulation, stratigraphic grid transfer to accurately move seismic-derived data to the geologic model, and flow simulation for model validation and ranking to determine the model that best fits all the data.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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