Schlumberger Technology Corporation

Yu Lin

Floyd Louis Broussard, Iii

Trond Benum

Aaron Scollard

Cyril Laroche-Py

Richard G Marsden

Gaelle Abecassis

Priya Kannan

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

The method for providing a data context service involves extracting context information from a host application associated with an oilfield project, the context information includes a current state of a user in the host application, sorting the context information into multiple dimensions of relevance, generating a search profile for each of the multiple dimensions of relevance, requesting a first set of searches using at least the search profile, receiving oilfield data items resulting from the first set of searches, obtaining a quality measure of an oilfield data item of the oilfield data items based on a pre-determined quality criterion, sending the oilfield data item as a search result to the host application after determining the quality measure exceeds a pre-determined threshold, and generating an output using the host application based on the search result, the output being used to perform an oilfield operation.

Quality measure for a data context service

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Houston, TX, United States of America

Yu Lin