Schlumberger Technology Corporation

Services Petroliers Schlumberger

Ashutosh Gupta

Andrew Prisbell

Hari Prakash Kalakonda

Stephen D'Mello

Rucha Deshmukh

Laurent Alteirac

Manoj D Mahajan

C V Jawahar

Emrah Gokdag

Bhavani Sambaturu

Chetan Arora

Anubhav Shukla

Jane O'Connor

A method, computer system, and computer program product are provided for a graphical user interface that presents a quantification of CO2 emissions in a manufacturing process. A selection of a material is received, and the selection is displayed in a graphic user interface. Amounts of material and energy consumed in a manufacturing process are calculated. A chemical composition of the material is decomposed into a set of constituent elements. A first quantity of CO2 emissions is estimated based on the amount of material consumed and a first CO2 emission factor based on a proportional composition of the set of constituent elements in the chemical composition. A second quantity of CO2 emissions is estimated based on the amount of energy consumed and a second CO2 emission factor based on an energy source used in the manufacturing process. Total CO2 emissions, based on both the first and second quantities, are then displayed in the graphic user interface.

Manufacturing carbon emission quantification interface

A system and method generating an optimized medical image using a machine learning model are provided. The method includes (i) receiving one or more medical images, (ii) segmenting to generate a transformed medical image for detecting a plurality of target elements, (iii) displaying the transformed medical image, (iv) receiving markings and scribblings associated with scribble locations from a user, (v) identifying errors associated with an outline of a target element, (vi) computing a loss function for a location of pixels where the target element is located on the transformed medical image, (vii) modifying the pre-defined weights (w) to match the segmentation output and the determined target element, (viii) determining whether the segmentation output is matched with the target element and (ix) generating the optimized medical image if the segmentation output is matched with the determined target element.

System and method of scribble based segmentation for medical imaging using machine learning

The present disclosure provides a loading tube to be used in a perforating gun. The loading tube is capable of securely engaging with shaped charges while maintaining the structural integrity and being made by injection molding.

Integrated loading tube

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Pune, India

Ashutosh Gupta