Schlumberger Technology Corporation

Services Petroliers Schlumberger

Geoquest Systems B.v.

Richard John Meehan

Yingwei Yu

Sylvain Chambon

Jean-Pierre Poyet

Qiuhua Liu

Benoit A Foubert

Velizar Vesselinov

Yuelin Shen

Mohammad Khairi Hamzah

Minh Trang Chau

James Belaskie

Wei Chen

Raymond Lin

Jean-Marc Follini

Jean-Michel Hache

Clinton Dane Chapman

Colin Longfield

Sandra Denisse Reyes

Patrick J Fisseler

Jonathan Dunlop

Cheolkyun Jeong

James Mather

Joseph Fang

Tom Palmer

Walt Aldred

Darine Mansour

Jonathan Guidry

Shunfeng Zheng

Alexander F Zazovsky

Xiaoyan Shi

Gokturk Tunc

Walter David Aldred

Nathaniel Wicks

Vishwanathan Parmeshwar

John David Rowatt

David Conn

Bunker M Hill

William Lesso

Oney Erge

John James

Joergen Kringen Johnsen

Mbaga Louis Ahorukomeye

Mathieu Will

Sai Venkatakrishnan Sankaranarayanan

Li Lan

Vincent Bricout

Jim Belaskie

Amr Khairy Mohamed Ahmed Essawi

Matthew Richard Orton

William John Fitzgerald

Leila Hoteit

Priya Mishra

Benoit Foubert

Sandra Reyes

Francine Evans

Eric Klumpen

Ming Niu

The present disclosure relates to systems, methods, and non-transitory computer-readable media for dynamically utilizing offset drill-well data generated within a threshold geographic area to determine formation-top trends and identify formation-top depths at a subject drill-well site. To do so, in some embodiments, the disclosed systems estimate a variogram for observed formation-top depths of a subset of offset drill-wells, and, in turn, map a predicted response from the estimated variogram. For example, using weighted combinations (e.g., with Kriging weights) of the formation-top depths of the subset of offset drill-wells, the disclosed systems can map a continuous surface of a formation and identify a top-depth thereof. Moreover, the disclosed system can do so for multiple formations at the subject drill-well site, and (in real-time in response to a user input) provide for display at a client device, the associated formation-top depths, various predicted drilling events and/or predicted drilling metrics.

Predicting formation-top depths and drilling performance or drilling events at a subject location

A system and method that include receiving sensor data acquired during execution of a drilling operation workflow and generating state information of a wellsite system and receiving contextual information for a role associated with a workflow that includes one or more tasks of the workflow. The system and method also include generating a natural language report based at least in part on the state information and based at least in part on the contextual information to facilitate planning and execution of the one or more tasks of the workflow. The system and method further include transmitting the natural language report via a network interface based at least in part on an identifier associated with the role and presenting a graphical user interface that renders information as to the planning and execution of the one or more tasks of the workflow to achieve a desired state of the wellsite system.

Wellsite report system

A system and method that include receiving an initial on-bottom signal that is indicative of an on-bottom state. The system and method also include receiving data indicative of a block position of the block for an in-slips state and a block position for going to an out-of-slips state of a rig. The system and method additionally include receiving data indicative of slips status of slips of the rig that is indicative of in-slips or out-of-slips. The system and method further include utilizing the data indicative of the slips status and the data indicative of the block position to control a drilling operation.

Drilling control

A method can include receiving sensor data; determining a rate of penetration drilling parameter value using a trained neural network and at least a portion of the sensor data; and issuing a control instruction for drilling a borehole using the determined rate of penetration drilling parameter value.

A system and method that include receiving sensor data during drilling of a portion of a borehole in a geologic environment. The system and method also include selecting a drilling mode from a plurality of drilling modes based at least on a portion of the sensor data. The system and method additionally include simulating drilling of the borehole using the selected drilling mode and generating a state of the borehole in the geologic environment based on the simulated drilling of the borehole. The system and method further include generating a reward using the state of the borehole and a planned borehole trajectory and using the reward through deep reinforcement learning to maximize future rewards for drilling actions.

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 system and method that can include training a deep neural network using time series data that represents functions of a non-linear Kalman filter that represents a dynamic system of equipment and environment and models a pre-defined operational procedure as a temporal sequence. The system and method can also include receiving operation data from the equipment responsive to operation in the environment and outputting an actual operation as an actual sequence of operational actions by the deep neural network. The system and method can additionally include performing an operation-level comparison to evaluate the temporal sequence against the actual sequence using a distance function in a latent space of the deep neural network and outputting a score function that quantifies the distance function in the latent space. The system and method can further include controlling an electronic component to execute an electronic operation based on the score function.

Field operations system with filter

A method for drilling a well includes generating a plurality of proposed drilling actions using a plurality of working agents based on a working environment, simulating drilling responses to the proposed drilling actions using a plurality of validation agents in a validation environment that initially represents the working environment, determining rewards for the proposed drilling actions based on the simulating, using the validation agents, selecting one of the proposed drilling actions, and causing a drilling rig to execute the selected one of the proposed actions.

Multi-agent drilling decision system and method

A method can include receiving block position data of a rig prior to addition of a length of pipe to a drillstring, where the drillstring is disposed at least in part in a borehole and supported by the rig; receiving block position data of the rig after addition of the length of pipe to the drillstring; and controlling position of the drillstring with respect to time using the rig and at least a portion of the block position data for landing a drill bit of the drillstring on a bottom of the borehole.

A method can include receiving sensor data during drilling of a portion of a borehole in a geologic environment; determining a drilling mode from a plurality of drilling modes using a trained neural network and at least a portion of the sensor data; and issuing a control instruction for drilling an additional portion of the borehole using the determined drilling mode.

A method can include receiving state information for a wellsite system; receiving contextual information for a role associated with a workflow; generating a natural language report based at least in part on the state information and based at least in part on the contextual information; and transmitting the natural language report via a network interface based at least in part on an identifier associated with the role.

A method can include receiving scheduled tasks associated with subsystems of a wellsite system wherein the scheduled tasks are associated with achievement of desired states of the wellsite system; transmitting task information for at least a portion of the scheduled tasks to computing devices associated with the subsystems; receiving state information via the wellsite system; assessing the state information with respect to one or more of the desired states; based at least in part on the assessing, scheduling a task; and transmitting task information for the task to one or more of the computing devices associated with the subsystems.

Rescheduling one or more tasks of a digital plan associated with subsystems of a wellsite based on the wellsite's state

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.

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 drilling rig site may include at least one tubular configured to be inserted into a wellbore at the drilling rig, at least one imaging device configured to detect a location of an end of the at least one tubular or a feature of the at least one tubular, and a processor receiving an input from the at least one imaging device and configured to calculate a distance between the end of the at least one tubular and another element, a diameter of the at least one tubular, or movement of the at least one tubular. A method for completing a drilling operation at a rig site, may include capturing an image of a tubular at a rig site, the tubular configured to be inserted into a wellbore at the rig site, detecting a location of an end of the tubular or a feature of the tubular from the image, and determining a diameter of the tubular, a distance between the detected end of the tubular and another element, or movement of the tubular.

Image based system for drilling operations

Growing community of inventors

Houston, TX, United States of America

Richard John Meehan