Schlumberger Technology Corporation

Other

Services Petroliers Schlumberger

Geoquest Systems B.v.

Sylvain Chambon

Richard John Meehan

Yingwei Yu

Qiuhua Liu

Mohammad Khairi Hamzah

Sandra Denisse Reyes

Jean-Pierre Poyet

Benoit A Foubert

Raymond Lin

Sai Venkatakrishnan Sankaranarayanan

Yuelin Shen

Shunfeng Zheng

Vishwanathan Parmeshwar

John David Rowatt

David Conn

Velizar Vesselinov

Erwann Lemenager

Oney Erge

Joergen Kringen Johnsen

Minh Trang Chau

Matthe Contant

Wei Chen

Yves G Mathieu

James P Belaskie

Sai Venkatakrishnan

Darine Mansour

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 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.

Drilling control

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.

Wellsite report system

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 can include receiving multi-channel time series data of drilling operations; training a deep neural network (DNN) using the multi-channel time series data to generate a trained deep neural network as part of a computational simulator where the deep neural network includes at least one recurrent unit; simulating a drilling operation using the computational simulator to generate a simulation result; and rendering the simulation result to a display.

Field operations system

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 can include, during drilling operations at a wellsite, receiving operational data, where the data include hookload data, surface rotation data and block position data; training a controller using the hookload data, the surface rotation data and the block position data for determination of one or more transition thresholds, where the transitions thresholds include an in-slips to out-of-slips transition threshold and an out-of-slips to in-slips transition threshold; during the drilling operations, receiving additional operational data that include additional hookload data; and storing at least a portion of the additional operational data in association with slips state as determined based at least in part on a comparison of at least a portion of the additional hookload data and at least one of the determined transition thresholds.

Rig operations controller

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 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

An EM antenna for location on a pipe () surrounded by a casing (). The antenna has a power source () for injecting a current across a first insulated section () of the pipe () and an electrode () for conducting the current from the pipe () to the casing (). There is also a second insulated section () of the pipe arranged to operate together with the electrode () and first insulated section () for directing a path flow of the current. Such antennas are described both in relation to repeater arrangements as well as land and sea applications.

Downhole telemetry system

Growing community of inventors

Katy, TX, United States of America

Sylvain Chambon