Determine a formation's textural parameters using advancing logging data
AssigneeBaker Hughes Oilfield Operations LLC
InventorsSalah Al-Ofi, Bilal Saad, Syed Shujath Ali, Hasan Kesserwan, Guodong Jin
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AssigneeBaker Hughes Oilfield Operations LLC
InventorsSalah Al-Ofi, Bilal Saad, Syed Shujath Ali, Hasan Kesserwan, Guodong Jin
Estimating the term…
Examples described herein provide a computer-implemented method for deriving textual properties of a reservoir formation. The method includes acquiring multi-frequency dielectric data (εmeas). The method further includes applying a dielectric mixing model between different fluid phases to generate an effective fluid permittivity (εfluid) by mixing the permittivity of water and hydrocarbon fluids. The method further includes applying the dielectric mixing model between the effective fluid permittivity (εfluid) and a matrix permittivity (εm). The method further includes minimizing a difference between a measured dielectric response and the dielectric mixing model by optimizing model parameters. The method further includes computing a cementation exponent (m) and a saturation exponent (n) from the multi-frequency dielectric data (εmeas). The method further includes estimating a formation property based at least in part on the cementation exponent (m) and the saturation exponent (n). A wellbore operation is controlled based at least in part on the formation property.
A method for deriving textual properties of a reservoir formation, the method comprising:
A method for evaluating petrophysical textural parameters based on acoustic velocity measurements and multi-frequency dielectric logging measurements, the method comprising:
Dependencies are inferred from the claim text.