Schlumberger Technology Corporation

Hrvoje Markovic

Lucas Natraj

Henri-Pierre Valero

Takeshi Endo

Hans Eric Klumpen

Shinichi Sunaga

Mitsuko Kitazawa

Mohammed Rupawalla

RajKumar Kannan

Yuta Okabe

Yoshisuke Fukagawa

Ryoko Hayashi

Ivayla Gueorguieva

Nils Kjetil Vestmoen Nilsen

A primary request is received that includes a primary identity. The service is within a service container group project hosted by a cloud provider. A shadow request is generated from the primary request. The shadow request includes a shadow identity linked to the primary identity. The shadow request is authorized by verifying that the shadow identity has access to the service. A tenant token is generated for the shadow identity in response to authorizing the shadow request. An access token is obtained using native authorization of the cloud provider in exchange for the tenant token. Tenant data is accessed from a tenant data repository using the access token. A shadow response is obtained that is generated for the shadow identity and includes processed tenant data generated. A primary response is sent that is for the primary identity and is generated from the shadow response.

Client isolation with native cloud features

Methods, apparatus, systems, and computer-readable media are set forth for processing exploration and production data to make such data more readily searchable for clients seeking to leverage the data for analytics and other services. The exploration and production data can be processed to generate a graph database that includes multiple nodes and node edges. The nodes can represent different portions of an exploration and production system, and the node edges can represent relationships between the different portions of the exploration and production system. Search suggestions be auto-filled at an interface of the graph database based on data available at the graph database. In this way, a user can be readily provide detailed search queries, without having to be completely cognizant of all the data available in the graph database.

Data searching, enrichment and consumption techniques using exploration and/or production entity relationships

A method, article and system are provided for processing and interpreting acoustic data. The method and system includes providing a number of acoustic processing elements, each element being associated with an acoustic mode of a number of acoustic modes of a sonic measurement tool adapted to acquire data representing acoustic measurements in a borehole. In addition the method and system includes providing a user interface to organize a processing chain of the number of acoustic processing elements such that the acoustic processing elements process the acquired data according to a predefined workflow.

Work flow based acoustic processing system and method

A method includes registering a type of data file. Registering the type of data file includes storing metadata describing the type of data file, the metadata including a file storage service and a parser for the type of data file. The method includes receiving a first data file of the type from a first domain, the first data file having raw data, storing the first data file, storing one or more access rules and a lineage of the first data file, parsing the first data file using the parser to generate a content from the raw data, storing the content separately from the raw data, providing the first data file and the content to a search service, and automatically updating one or more second data files from one or more other domains based on the content of the first data file using the search service and the lineage.

Domain data management services

Dynamic schema transformation that involves a target schema that is determined from a request. A set of transformations is identified between a set of source schemas and the target schema. A set of source entities that correspond to the set of source schemas is received. The set of source entities is converted to a set of target entities by applying the sets of transformations to the set of source entities. A reply is presented that comprises target data from the set of target entities.

Dynamic schema transformation

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Mountain View, CA, United States of America

Hrvoje Markovic