Chevron U.s.a. Inc.

Diamond Innovations. Inc.

Schlumberger Technology Corporation

Yuanbo Lin

Shane James Prochnow

Youhe Zhang

John William Lucek

Joseph M Rhodes

Michael J Richey

Matthew C Jones

Bruce Jake Reierson

Susanne Norgren

Ke Wang

James P Disiena

Morgan David Sullivan

Malin Martensson

Todd C Dygert

Petros Papazis

Liliia Reddy

Ellen Xiaoxia Xu

Hannah G Luk

Andreas Markstrom

Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

Systems and methods for estimating refined reservoir productivity values as a function of position in a subsurface volume of interest

Systems and methods for estimating reservoir productivity as a function of depth in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of depth in the subsurface volume of interest using visual effects; and display the representation.

Systems and methods for estimating reservoir productivity as a function of depth in a subsurface volume of interest

A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.

System and method for lateral statistical estimation of rock and fluid properties in a subsurface formation

Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest

A downhole cutting apparatus includes a tubular body and a cutter block extending radially therefrom. The cutter block includes at least one row of cutting elements. The row or cutting elements defines a cutting profile having a first underreaming cutting edge, a second underreaming cutting edge, and a first backreaming cutting edge between the first underreaming cutting edge and the second underreaming cutting edge.

Cutting structure of a downhole cutting tool

A downhole cutting apparatus includes a cutter block having a longitudinal blade. The longitudinal blade includes a first cutting edge adjacent a second cutting edge, and the first cutting edge and the second cutting edge are both either underreaming cutting edges, backreaming cutting edges, or a combination of underreaming and backreaming cutting edges.

Cutting structure with blade having multiple cutting edges

A cutter assembly includes a substrate and at least one island. The substrate includes a surface circumscribed by a peripheral edge, a flank surface extending from the peripheral edge, and at least one pocket with an opening on the surface and spaced apart from the peripheral edge. The at least one pocket extends from the opening towards an interior of the substrate. The at least one island is in the at least one pocket, and the at least one island includes a cutting surface that is exposed by the opening of the at least one pocket.

Cutter assembly with at least one island and a method of manufacturing a cutter assembly

A superabrasive compact cutting element, for example, a insert utilized in shear cutter bits. The cutting elements include a layer of superabrasive materials that is provided with different shapes and positions relative to the substrate in order to enhance the abrasion resistance performance of the cutting element. The cutting element includes a top, bottom and peripheral surface. The cutting element further includes at least one superabrasive material portion comprising polycrystalline diamond (PCD) or cubic boron nitride (CBN), a substrate supporting the at least one superabrasive material portion, and an interface where the at least one superabrasive material portion and the substrate are joined. The interface slopes downwardly with a slope angle of less than about 40&#xb0; and/or the cutting element has a longitudinal thickness of the at least one superabrasive material portion measured along a peripheral surface of the cutting element in a longitudinal direction greater than about 3 mm.

Cutting element structure with sloped superabrasive layer

A sintered cutting element including a superabrasive layer supported on a substrate. The superabrasive layer includes superabrasive material and secondary phase, and the substrate includes a binder phase. The sintered cutting element is formed by a high temperature high pressure sintering process in which separate source elements melt and sweep first through the superabrasive layer, and then to the substrate to form the secondary phase and binder phase. The superabrasive layer is substantially free of or free of eta-phase, CoWC. Further, the portion of the substrate nearest the interface between the superabrasive layer and the substrate has equal or more binder phase than portions of the substrate further from the interface. In certain embodiments, the superabrasive material includes polycrystalline diamond, and the substrate includes cobalt tungsten carbide.

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Houston, TX, United States of America

Yuanbo Lin