首页|Patent Application Titled 'System For Building Machine Learning Models To Accele rate Subsurface Model Calibration' Published Online (USPTO 20240201417)
Patent Application Titled 'System For Building Machine Learning Models To Accele rate Subsurface Model Calibration' Published Online (USPTO 20240201417)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Reporters obtained the following quote from the background information supplied by the inventors:“Simulation models receive a considerable amount of reservoir data. The simulation models can be used inthe decision-making process to enhanc e field performance. The ability to search the options and evaluatedifferent co ntrol scenarios may improve infill well placement, well count determination, wat erfloods, andenhanced oil recovery. However, the likelihood of a model capturin g the real reservoir performance isrelated to how close its output matches hist orical production data. Hence, history-matching is used toensure the relevance of the asset subsurface numerical models.
NETL
NSTL
