Baker Hughes, a Ge Compnay, LLC

Baker Hughes Holdings LLC

Eduardo Adrian Cazeneuve

Umesh Prasad

Sergey Stolyarov

Douglas J Patterson

Robert S Hurt

Frank Walles

Javier Alejandro Franquet

David Gadzhimirzaev

Dee Adedotun Moronkeji

David Katz

Karim Sabaa

Gennady Koscheev

Geoffrey Cave

Said D Sadykhov

Robert Samuel Hurt

Systems, tools, and methods for optimizing fracturing schedules located along a horizontal wellbore include obtaining drilling cuttings during a drilling operation representative of a predetermined interval of the horizontal wellbore, performing at least one analytical process on the obtained drilling cuttings to determine at least one geomechanical property of the interval of the obtained drilling cuttings for the interval, generating a formation analysis estimation for the interval from the, wherein the formation analysis estimation comprises at least one of (i) a brittleness of the formation at the interval or (ii) a minimum horizontal stress of the formation at the interval, and based on the formation analysis estimation, at least one of (i) configuring a super-stage for deployment to the interval to perform a fracturing operation or (ii) designing a fracturing schedule to be performed to frac the formation at the interval.

Super-stages and methods of configuring super-stages for fracturing downhole earth formations

Systems, methods, and computer-readable medium for generating a three-dimensional fracture network model are provided. The method can include receiving reflected acoustic signal measurements acquired in response to emission of acoustic waves by one or more sensors disposed in a wellbore formed within a target region. Each reflected acoustic signal measurement represents a strength of a reflected acoustic wave as a function of time measured in at least one predetermined direction oriented with respect to an axis of the wellbore. A fracture extension estimate is generated for each of the reflected acoustic signal measurements. A three-dimensional fracture network model is generated corresponding to the fracture extension estimates generated for each of the plurality of reflected acoustic measurements. The generated fracture network model is output for display or use in modeling environments.

Three-dimensional fracture radius model

Methods and apparatus for acoustic velocity well logging. Methods may include estimating a property of an earth formation, including estimating a depth-dependent lateral tectonic strain profile for the earth formation by generating a linear-to-linear transformation constrained to map a first value of a shear wave velocity parameter of the formation to an estimated minimum value of lateral tectonic strain in at least one direction corresponding to at least one principal horizontal stress of the formation, and map a second value of the shear wave velocity parameter of the formation to an estimated maximum value of lateral tectonic strain in the at least one direction, wherein the strain values may be estimated using closure pressure. The first value of the shear wave velocity parameter may be a minimum value of shear wave slowness and the second value of the shear wave velocity parameter is a maximum value of shear wave slowness.

Estimating depth-dependent lateral tectonic strain profiles

Systems, devices and methods for evaluating an earth formation intersected by a borehole. Method include detecting a reflective boundary in the earth formation by: generating a multipole acoustic signal with a logging tool in the borehole; identifying a shear wave signal resulting from shear body waves reflected in the formation in a near-field region of the formation around the borehole responsive to the generated multipole acoustic signal; and estimating at least a depth along the borehole of the boundary based on the shear wave signal. The boundary may have an angle of incidence with respect to the borehole of greater than 70 degrees. The boundary may be at least one of i) a fracture; and ii) a fault. The method may include evaluating the boundary using at least one attribute of the shear wave signal and the estimated depth.

Detection of high incident reflective boundaries using near-field shear waves

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Spring, TX, United States of America

Eduardo Adrian Cazeneuve