Schlumberger Technology Corporation

Services Petroliers Schlumberger

Prad Research and Development Limited

Logined B.v.

Aaron Scollard

Ivan Priezzhev

Aria Abubakar

Hiren Maniar

Atul Laxman Katole

Purnaprajna Raghavendra Mangsuli

Yu Lin

Zhengang Lu

Denzil Francis Crasta

Preeti Gupta

Ekansh Verma

Priya Kannan

A method for digitizing image-based data includes receiving an image file including one or more target objects, generating an intermediate image by removing noise from the image file using a denoising machine learning model, identifying the one or more target objects included in the intermediate image using an object segmentation machine learning model, discretizing the one or more target objects that were identified using the trained object segmentation machine learning model, and storing the one or more target objects that were discretized in a data file, visualizing the one or more target objects, or both.

Raster image digitization using machine learning techniques

Methods, apparatuses, and computer-readable media utilize data stacking to facilitate identification and/or correction of data interpretation conducted for a subsurface formation. Related data sets, such as well logs, may be displayed along with markers representing a common entity in the related data sets, such as formation features in a surface formation, and a visualization of stacked data may be generated and centered on the markers to highlight mis-alignment of any of the markers.

Data interpretation quality control using data stacking

A method, apparatus, and computer-readable medium provide automatic geosteering by automatically updating a geosteering structure model based upon observed data gathered during a drilling operation. In some embodiments, automatic updates may be used to introduce vertical shifts into a geosteering structure model to match synthetic log data with observed log data. In addition, in some embodiments an evolutionary algorithm may be used to introduce such vertical shifts and thereby provide an optimal match between the synthetic and observed log data.

Automatic geosteering and evolutionary algorithm for use with same

A method can include providing seismic data for a subsurface region that includes a reflector; decomposing at least a portion of the seismic data using principal component analysis (PCA) to generate at least one principal component; and outputting output data based at least in part on the at least one principal component. Various other apparatuses, systems, methods, etc., are also disclosed.

Seismic orthogonal decomposition attribute

Growing community of inventors

Houston, TX, United States of America

Aaron Scollard