Schlumberger Technology Corporation

Frank Shray

John R Lovell

Andrew Emil Pomerantz

Ravinath Kausik Kadayam Viswanathan

Paul Ryan Craddock

Qingyan He

Yi-Qiao Song

John C Rasmus

Robert L Kleinberg

Jacques R Tabanou

Martin D Hurlimann

Qiming Li

Denis Heliot

Richard E Lewis

John Paul Horkowitz

Simon G Fleury

Cheng Bing Liu

Stacy Lynn Reeder Blanco

Thomas James Neville

Pascal F Rothnemer

Colm Ryan

Methods may include estimating the weight fractions of kerogen and inorganic mineral components of at least an interval of a subsurface formation; determining the grain density of kerogen and inorganic mineral components, wherein at least the grain density of kerogen is determined by one or more infrared measurements; and calculating the formation matrix density of at least an interval of the subsurface formation from the estimated weight fractions and the determined grain density. In another aspect, methods may include estimating the weight fractions of kerogen and inorganic mineral components of at least an interval of a subsurface formation; determining the grain density of kerogen and inorganic mineral components, wherein at least the grain density of kerogen is determined by one or more infrared measurements; and calculating the formation matrix density of at least an interval of the subsurface formation from the estimated weight fractions and the determined grain density; calculating the bulk density for at least an interval of the subsurface formation; and determining the total porosity of at least an interval of the subsurface formation as a function of depth by combining the calculated formation matrix density and the calculated bulk density.

Methods for improving matrix density and porosity estimates in subsurface formations

Systems and methods for generating a multi-dimensional distribution function. First data and second data may be received in response to one or more radiofrequency pulses that are transmitted into a subterranean formation. The first data may include Carr-Purcell-Meiboom-Gill data, and the second data may include diffusion editing data with initial echo spacings longer than subsequent echo spacings. The second data may be inverted. A multi-dimensional distribution function may be determined using the inverted second data.

Identifying and removing artifacts from multi-dimensional distribution functions

Techniques for calculating metrics for reservoir quality based on light oil and total organic carbon in tight oil reservoirs are described. The techniques include calculating quantities of light oil and total organic carbon from logging data and generating therefrom a continuous log for reservoir quality metric. Additionally new reservoir quality indices are presented that more accurately predict reservoir quality in tight oil plays.

Quality metrics for tight oil reservoirs

A gap collar for an electromagnetic communication unit of a downhole tool positioned in a wellbore is provided. The downhole tool communicates with a surface unit via an electromagnetic field generated by the electromagnetic communication unit. The gap collar includes a first collar having a first end connector and a second collar having a second end connector matingly connectable to the first end connector. The gap collar further includes a non-conductive insulation coating disposed on the first and/or second end connectors, and a non-conductive insulation molding positioned about an inner and/or outer surface of the collars. The insulation molding moldingly conforms to the shape collars. The connectors are provided with mated threads modified to receive the insulation coating. Measurements taken by the downhole tool may be stored in memory, and transmitted to the surface unit via the electromagnetic field.

Wellbore communication system

Techniques for determining a formation property by simplifying various two-geological-layer or multi-geological-layer models into a multi-electrical-layer model. A volume fraction of a layer in a multi-electrical-layer model is determined for an anisotropic region (sliding window) of the formation. The multi-electrical-layer electrical model includes a relative-lower-resistivity layer and a relative-higher-resistivity layer. A high-resolution resistivity measurement is used in the determination and resistivities for the relative-lower-resistivity layer and for the relative-higher-resistivity layer based on the volume fraction and bulk resistivity measure ments of the anisotropic region are determined. The formation property is based on the volume fraction, the resistivity of the relative-lower-resistivity layer, the resistivity of the relative-higher-resistivity layer, a total porosity of the anisotropic region, and bulk resistivity measurements of the region.

Methods and systems for resistivity anisotropy formation analysis

A method for detecting and visualizing changes in a borehole, comprising correlating a time-depth file and a time-data file to obtain a plurality of measurements at a specific depth for a parameter, analyzing a parameter change using at least two of the plurality of the measurements to obtain an interpretation of the parameter change, and displaying the interpretation of the parameter change using a graphical representation.

Method to detect and visualize changes in formation parameters and borehole condition

A method for supplying a customer with well log data including obtaining wellsite properties from the customer, recommending at least one tool string and analysis software tool combination using the wellsite properties, processing well log data using customer domain information and the least one tool string and analysis software tool combination to obtain processed well log data, viewing the processed well log data using an interactive viewer, manipulating the customer domain information, and updating the processed well log data on the interactive viewer using the manipulated customer domain information.

Method and system for supplying well log data to a customer

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Sugar Land, TX, United States of America

Frank Shray