发明名称 |
MEAN REGRESSION FUNCTION FOR PERMEABILITY |
摘要 |
A method having obtaining one or more porosity data of a subsurface of the Earth using a data acquisition tool; computing one or more permeability data from the porosity data using a transformation function; computing a first quantile regression function and a second quantile regression function of the one or more permeability data; producing a combined mean regression function of the one or more permeability data by summing the first quantile regression function and the second quantile regression function, wherein the first quantile regression function is multiplied by a first coefficient and the second quantile regression function is multiplied by a second coefficient; and using the combined mean regression function to predict a mean permeability of the subsurface. |
申请公布号 |
WO2012116320(A3) |
申请公布日期 |
2012.11.22 |
申请号 |
WO2012US26606 |
申请日期 |
2012.02.24 |
申请人 |
SCHLUMBERGER CANADA LIMITED;SERVICES PETROLIERS SCHLUMBERGER;LOGINED B.V.;PRAD RESEARCH AND DEVELOPMENT LIMITED;SCHLUMBERGER TECHNOLOGY CORPORATION;WLODARCZYK, SYLVAIN |
发明人 |
WLODARCZYK, SYLVAIN |
分类号 |
G01V1/40;G01V1/50;G06F19/00 |
主分类号 |
G01V1/40 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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