Exxonmobil Upstream Research Company

Dar-Lon Chang

Jeffrey Roberts Bailey

Gregory S Payette

Paul E Pastusek

Lei Wang

Darren Pais

Stephen M Remmert

Matthew T Prim

Bruce A Dale

Hao Bin Huang

Xiaohui Wu

Larisa V Branets

Timothy K Ellison

Gauthier D Becker

Thomas C Halsey

Jennifer A Hommema

Xiang Ma

Dieter Postl

Brian J O'Donnell

Brian J O'donnell

Methods and systems for controlling a drilling operation based on an MSE value calculated for a depth increment are disclosed herein. In an exemplary method, drilling parameters characterizing a drilling operation in a subterranean formation are received in a control system. The drilling parameters are used by the control system to calculate a depth-based mechanical specific energy (MSE) based on some amount of energy expended by at least a portion of a drilling assembly while drilling at least one identified depth sub-interval of a depth interval of a subterranean formation. The control system uses the calculated depth-based MSE to control the drilling operation.

Drilling a wellbore

A method and system are described for generating a geologic model having material properties for a faulted subsurface region. The method and system involve parameterizing corresponding fault surfaces and solving an energy optimization equation and/or conservation law equation for the corresponding fault surfaces based on parameterized nodes on the fault surfaces to generate a displacement map. The displacement map is used to map a geologic model from the physical space to the design space, where it is populated with material properties. The resulting populated geologic model may be used for hydrocarbon operations associated with the subsurface region.

Managing discontinuities in geologic models

Integrated methods and systems for optimizing drilling related operations include recording data, parsing the data into intervals and analyzing the intervals to determine if the performance data in each time interval is of sufficient quality for using the interval data in a performance optimization process. The quality assessment may involve evaluating the data against a set of determined standards or ranges. The performance optimization process may utilize data mapping and/or modeling to make performance optimization process recommendations.

Drilling advisory systems and methods to filter data

Combined methods and systems for optimizing drilling related operations include global search engines and local search engines to find the optimal value for at least one controllable drilling parameter, and a data fusion module to combine or select the operational recommendations from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Drilling advisory systems and methods with combined global search and local search methods

Integrated methods and systems for optimizing drilling related operations include global search engines and local search engines to find an optimal value for at least one controllable drilling parameter, and decision trees to select algorithms such as between learning mode algorithms and application mode algorithms for generating operational recommendations based on the results from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Drilling advisory systems and methods with decision trees for learning and application modes

Methods and systems for making decisions related to the operation of a hydrocarbon well include characterizing effective production capacity of a reservoir over space and time based at least in part on a reservoir potential and a near-well capacity; determining an optimized well potential over space and time relative to the characterized effective production capacity using a well model of a simulated well accessing the reservoir, which may be determined based at least in part on an objective function that considers at least one of a plurality of decision-making factors, such as one or more of operations costs, operational risks, and modeled production rates over the life of the well; and determining at least one well operating plan component that can be incorporated into a well operating plan to provide the optimized well potential in a well accessing the reservoir.

Optimizing well operating plans

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Sugar Land, TX, United States of America

Dar-Lon Chang