Schlumberger Technology Corporation

Nabors Drilling Technologies Usa, Inc.

Services Petroliers Schlumberger

Geoquest Systems B.v.

Mohammad Khairi Hamzah

Sylvain Chambon

Richard John Meehan

Yingwei Yu

Carlos Rolong

Tatiana Borges

Colin Gillan

Qiuhua Liu

David Conn

Austin Groover

Oney Erge

Christopher Papouras

James P Belaskie

Sai Venkatakrishnan

Darine Mansour

Sai Venkatakrishnan Sankaranarayanan

Ryan Bott

Chandana Koritala

A method that includes an electronic application identifying an ending of a first drilling segment and a simultaneous beginning of a second drilling segment; identifying a data set of the first drilling segment; automatically creating, in response to the identification of the first drilling segment ending, a new row in a database table that stores a data set for each drilling segment, with the new row storing the variable values of the first drilling segment; creating a multi-dimensional data matrix based on the values in the database table; and extracting, from multi-dimensional data matrix, an optimum value of a variable for an upcoming drilling segment. The method may also include determining that a trajectory or location of a rotary steering system is outside of a tolerance window; and the step of extracting the optimum value of the variable is in response to this determination.

Methods and apparatus for creating and using a multi-dimensional data matrix to identify an optimum rotary steerable system setting

A method can include acquiring data associated with a field operation in a geologic environment; processing the data by partitioning operationally and representing symbolically; formulating a symbolic query for an operating procedure specification; performing a search of the symbolically represented data utilizing the symbolic query and a probabilistic chain model; receiving a search result responsive to the search; assessing compliance with the operation procedure specification utilizing the search result; and issuing a control signal to field equipment utilizing the assessment of compliance.

Dynamic field operations system

A method of identifying an instruction combination executable by a surface control system of a drilling rig to change settings of a rotary steerable system ('RSS') tool. The method includes identifying, by an electronic application, a first current RSS setting of the RSS tool; identifying, by the electronic application, a first target RSS setting of the RSS tool; identifying, by the electronic application, a plurality of instruction combinations configured to change the first current RSS setting to the first target RSS setting. Each instruction combination of the plurality of instruction combinations comprises a number of steps, and each step includes a downlink command sequence. The method also includes selecting, by the electronic application, an instruction combination that comprises the least number of steps.

Methods and apparatus to identify and implement downlink command sequence(s)

An apparatus and method that form closed-loop system(s) between a downhole system that includes an RSS and a surface control system, to improve stability and performance assurance of the RSS. The apparatus and method account for the actual downhole conditions experienced by the RSS, the actual positioning of the RSS, and historical performance of the surface systems such as the mud pump system, the rotary drive system, and the draw works. These closed-loop systems generate and optimize parameters or target outputs, instructions to surface systems, and instructions for the RSS itself.

Method and apparatus for controlling a rotary steerable system using closed-loop system(s)

A method and apparatus for oil and gas operations according to which a bottom hole trajectory of a drilling well is surveyed using a survey tool located uphole from a drill bit positioned at a bottom hole location. One or more offset wells are identified having a trajectory, or respective trajectories, closing on the bottom hole trajectory of the drilling well. An anti-collision steering strategy for the drilling well to avoid the one or more offset wells is determined.

Avoiding collision with offset well(s) having a trajectory, or trajectories, closing on a drilling well

A method can include training a deep neural network to generate a trained deep neural network where the trained deep neural network represents functions of a nonlinear Kalman filter that represents a dynamic system of equipment and environment via an internal state vector of the dynamic system; generating a base internal state vector, that corresponds to a pre-defined operational procedure, using the trained deep neural network; receiving operation data from the equipment responsive to operation in the environment; generating an internal state vector using the operation data and the trained deep neural network; and comparing at least the internal state vector to at least the base internal state vector.

Field operations system with filter

A method is provided that can include collecting, via a processor, operational data about a subterranean operation being performed on a rig, determining, via the processor, a type of the subterranean operation based on the operational data, and automatically updating, based on the type, a user display with display elements associated with the subterranean operation.

Automated display of wellbore information

A method can include receiving channels of data from equipment responsive to operation of the equipment in an environment where the equipment and environment form a dynamic system; defining a particle filter that localizes a time window with respect to the channels of data; applying the particle filter at least in part by weighting particles of the particle filter using the channels of data, where each of the particles represents a corresponding time window; and selecting one of the particles according to its weight as being the time window of an operational state of the dynamic system.

Field operations system with particle filter

A method includes acquiring data during rig operations where the rig operations include operations that utilize a bit to drill rock and where the data include different types of data; analyzing the data utilizing a probabilistic mixture model for modes, a detection engine for trends and a network model for an inference based at least in part on at least one of a mode and a trend; and outputting information as to the inference where the inference characterizes a relationship between the bit and the rock.

Real-time well construction process inference through probabilistic data fusion

A computer-implemented method includes monitoring, by a computing device, data measurements associated with a bottom hole assembly (BHA), and detecting, by the computing device, a plurality of possible tight instances. An individual possible tight spot instance is detected based on a data measurement satisfying a threshold. The method also includes determining, by the computing device, information identifying respective probe depths of a plurality of probes incorporated by the BHA for the individual possible tight spot instance, storing, by the computing device and in a table, the information identifying the respective probe depths for each possible tight spot instance, generating, by the computing device, a profile identifying tight spot depths based on information stored in the table; and executing, by the computing device, a mitigating instruction based on the profile to mitigate the presence of the identified tight spot depths.

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Katy, TX, United States of America

Mohammad Khairi Hamzah