Sas Institute Inc.

David Pope

Kevin L Scott

Moray L Laing

Keith R Holdaway

Donald O Koch

James Duarte

Robert Leo Szczerba

Mark Joseph Konya

Blanden Scott Chisum

Liewellyn Arthur Gaiway

Brett Farina

Llewellyn Arthur Galway

A computing device configured to determine an optimal value for a control of a drilling operation is provided. An event stream processing engine (ESPE) instantiated. The ESPE is instantiated to execute an objective function model determined using historical drilling data. The objective function model maximizes a rate of penetration for a previous drilling operation. The historical drilling data includes a plurality of values measured for each of a plurality of drilling control variables during the previous drilling operation. Measured drilling data that includes current drilling data values for a current drilling operation is received by the ESPE. The received, measured drilling data is processed through the ESPE instantiated to execute the objective function model to determine an optimal value for a control of the current drilling operation. The determined optimal value is output by the ESPE for the control of the current drilling operation.

Control variable determination to maximize a drilling rate of penetration

Various embodiments are generally directed to systems for multi-stage measurement data analysis (MMDA), such as for evaluation and/or validation of data received from a measurement device, for instance. Some embodiments are particularly directed to a MMDA system that utilizes event stream processing (ESP) to provide near real-time validation of measurement data, at least in part, by detecting losses in the measurement data. In many embodiments, the MMDA system may detect technical losses (e.g., due to equipment malfunction) and/or non-technical losses (e.g., due to compromised equipment). For example, the MMDA system may receive measurement data generated by an electrical meter and determine the electrical meter is malfunctioning by detecting a technical loss in the measurement data. In many embodiments, the MMDA system may utilize both direct and indirect measurement data transmitted via separate communication paths to provide near real-time validation of measurement data.

Techniques for multi-stage analysis of measurement data with event stream processing

A method of determining an optimal value for a control of a drilling operation is provided. Drilling data from a drilling operation is received. The drilling data includes a plurality of values measured for each of a plurality of drilling control variables during the drilling operation. An objective function model is determined using the received drilling data. The objective function model maximizes a rate of penetration for the drilling operation. Measured drilling data is received that includes current drilling data values for a different drilling operation. An optimal value for a control of the different drilling operation is determined by executing the determined objective function model with the measured drilling data that includes the current drilling data values for the different drilling operation as an input. The determined optimal value for the control of the different drilling operation is output.

Computer-implemented systems and methods are provided for determining future profitability for an entity. A present profitability model is generated for the entity based upon present values for a plurality of components of profitability. The present profitability model is used to create a future profitability forecast for the entity.

Computer-implemented systems and methods for determining future profitability

Systems and methods for handling input search engine data. A data store is searched based upon one or more data items contained within the input search engine data. The result of searching the data store is used to determine which data items in the input search engine data might be a search term. Search terms are extracted based upon the result of searching the data store.

Computer-implemented system and method for analyzing search queries

Systems and methods are provided for identifying candidates for new search terms that may be purchased from a search engine company. Candidate search terms are identified from a session log, such as by analyzing the presence of the candidate search terms in relation to data stored in the session log.

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Raleigh, NC, United States of America

David Pope