Baker Hughes Oilfield Operations LLC

Saudi Arabian Oil Company

Baker Hughes, a Ge Compnay, LLC

Hasan Kesserwan

Guodong Jin

Baoyan Li

Shouxiang Mark Ma

Salah Mohammed Al-Ofi

Julio Roberto Arro

Syed Shujath Ali

Holger Thern

Alberto Mezzatesta

Gabor Hursan

Bilal Saad

Examples described herein provide a computer-implemented method for deriving textural properties of a reservoir formation. The method includes acquiring multi-frequency dielectric data (ε). The method further includes applying a dielectric mixing model between different fluid phases to generate an effective fluid permittivity (ε) by mixing the permittivity of water and hydrocarbon fluids. The method further includes applying the dielectric mixing model between the effective fluid permittivity (ε) and a matrix permittivity (ε). 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 (ε). 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.

Determine a formation's textural parameters using advancing logging data

A method of estimating a wettability characteristic of a rock and fluid system includes acquiring a sample of the rock material, performing a first nuclear magnetic resonance (NMR) measurement of the sample when the sample is in a full water saturation condition, and measuring a first T2 distribution, performing a second NMR measurement of the sample when the sample is in a second partial saturation condition, and measuring a second T2 distribution. The method also includes separating a hydrocarbon component of the second T2 distribution from a water component of the second T2 distribution, applying a fluid substitution model to the water component of the second T2 distribution to generate a computed T2 distribution, and calculating a wettability index (WI) based on a difference between the first T2 distribution and the computed T2 distribution.

Wettability estimation using magnetic resonance

Systems and methods to evaluate a formation by analyzing drill cuttings involve a multi-frequency dielectric coaxial probe to obtain a reflected voltage from a medium under test based on a reference voltage over a frequency range. The medium under test includes the drill cuttings. The system includes a processor to compute an effective permittivity of the drill cuttings over the frequency range based on a reflection coefficient, which is a ratio of the reflected voltage to the reference voltage over the frequency range, and to determine one or more parameters from the effective permittivity. The one or more parameters are used to make decisions about subsequent drilling in the formation.

Multi-frequency dielectric coaxial probe for formation analysis

A method of estimating a wettability characteristic of a rock material includes acquiring a plurality of T2 distributions based on nuclear magnetic resonance (NMR) measurements of a rock material under a plurality of fluid saturated rock conditions, constructing a measurement matrix based on the plurality of T2 distributions, and performing non-negative factorization of the measurement matrix to determine feature components. The method also includes reconstructing the plurality of T2 distributions based on the feature components, and extracting a first set of T2 distributions associated with mobile water under a wetting condition and a second set of T2 distributions associated with mobile water under a non-wetting condition based on the feature components, and calculating a wettability index (WI) based on the first extracted set of T2 distributions and the second extracted set of T2 distributions.

Wettability estimation using T2 distributions of water in wetting and non-wetting phases

A method of estimating a material mechanical property of a porous material, for an application or objective with a specific application frequency and application strain amplitude, includes estimating an application frequency and an application strain amplitude for use in a targeted application or objective, and constructing a frequency transfer function relating the material mechanical property to measurement frequencies, the measurement frequency range including a measurement frequency different from the application frequency. The method also includes constructing a strain amplitude transfer function relating the material mechanical property at the measurement strain amplitude and the material mechanical property at the application strain amplitude, the measurement strain amplitude different from the application strain amplitude, deriving the material mechanical property from the frequency transfer function using the application frequency, and predicting the material mechanical property from the strain amplitude transformation function using the derived material mechanical property.

Estimation of objective driven porous material mechanical properties

A method of estimating properties of a resource bearing formation includes receiving, by a processor, a measured echo train generated by a nuclear magnetic resonance (NMR) measurement device deployed in a region of interest, and a measured noise of the measured echo train, and calculating a Tdistribution subject to a nonlinear equality constraint, the nonlinear equality constraint dependent on the measured noise and a fitting error between the measured echo train and a modeled echo train. Calculating the Tdistribution includes estimating a solution for the Tdistribution that is closest to satisfying the nonlinear equality constraint.

Inversion of NMR echo trains using a supplementary nonlinear equality constraint

A method for transforming an earth formation and/or production equipment based on correcting nuclear magnetic resonance (NMR) data to account for partially water-saturated rock includes: receiving NMR logging data having echo-trains for an earth formation; inverting the echo-trains to provide transverse relaxation time constant (T) distributions for various components of fluid in the earth formation; substituting a Tdistribution for mobile water of fully water-saturated rock for a Tdistribution for mobile water of partially water-saturated rock based on values of the mobile water Tdistribution of partially water-saturated rock and a total porosity constraint; summing the Tdistribution for mobile water of fully water-saturated rock and a Tdistribution for an immobile water component of the fluid to provide a T, distribution for fully water-saturated rock; and transforming the earth formation and/or the production equipment based on a parameter derived from the Tdistribution for fully water-saturated rock.

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Al-Khobar, Saudi Arabia

Hasan Kesserwan