公开(公告)号：US20240018864A1

公开(公告)日：2024-01-18

申请号：US18477656

申请日：2023-09-29

Applicant: Schlumberger Technology Corporation

Inventor： Yingwei Yu ,  Velizar Vesselinov ,  Richard Meehan ,  Qiuhua Liu ,  Wei Chen ,  Minh Trang Chau ,  Yuelin Shen ,  Sylvain Chambon

IPC: E21B44/00 ,  E21B47/024 ,  E21B7/04

CPC classification number: E21B44/00 ,  E21B47/024 ,  E21B7/04

Abstract: 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 in a multi-dimensional spatial environment to generate a simulated state of the borehole in the geologic environment. The system and method further include analyzing the simulated state of the borehole and generating a reward using the simulated state of the borehole and a planned borehole trajectory and using the reward to train an agent to provide automated directional drilling with transitions between at least one of: a plurality of drilling modes and a plurality of toolface settings.

公开(公告)号：US20200370409A1

公开(公告)日：2020-11-26

申请号：US16776373

申请日：2020-01-29

Applicant: Schlumberger Technology Corporation

Inventor： Yingwei Yu ,  Velizar Vesselinov ,  Richard Meehan ,  Qiuhua Liu ,  Wei Chen ,  Minh Trang Chau ,  Yuelin Shen ,  Sylvain Chambon

IPC: E21B44/00 ,  E21B7/04 ,  E21B47/024

Abstract: 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.

公开(公告)号：US20230124120A1

公开(公告)日：2023-04-20

申请号：US17449399

申请日：2021-09-29

Applicant: Schlumberger Technology Corporation

Inventor： Yingwei Yu ,  Cheolkyun Jeong ,  Yuelin Shen ,  Wei Chen ,  Zhengxin Zhang ,  Velizar Vesselinov

IPC: E21B44/00 ,  E21B49/00 ,  G06F30/20

Abstract: A method for evaluating one or more bottom hole assemblies (BHAs) includes receiving a plurality of inputs. The inputs include one or more properties of the one or more BHAs, a planned trajectory of a wellbore, and one or more properties of a subterranean formation into which the wellbore will be drilled. The method also includes simulating drilling the wellbore in the subterranean formation based at least partially upon the inputs. Drilling of the wellbore is simulated with one or more artificial intelligence (AI) agents. Drilling of the wellbore is simulated a plurality of times using each of the one or more BHAs, thereby producing a plurality of simulations. Each simulation is generated using a different one of the AI agents. The method also includes generating one or more outputs in response to simulating drilling the wellbore.

公开(公告)号：US20230082520A1

公开(公告)日：2023-03-16

申请号：US17929412

申请日：2022-09-02

Applicant: Schlumberger Technology Corporation

Inventor： Aymeric Lilian Jan ,  Fatma Mahfoudh ,  Gordana Draskovic ,  Cheolkyun Jeong ,  Yingwei Yu

IPC: E21B44/00 ,  E21B47/095 ,  E21B47/10

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting a washout or other anomaly event in a wellbore. In particular, in one or more embodiments, the disclosed systems receive a plurality of measurements including a measured flow rate into the wellbore, a measured weight on a drill bit in the wellbore, a measured depth of the drill bit in the wellbore, and a measured pressure at a standpipe of the wellbore. In one or more embodiments, the disclosed systems estimate one or more parameters of a physical model for determining a theoretical estimate of the standpipe pressure. In one or more embodiments, the disclosed systems determine a probability that the washout or other anomaly event is occurring in the wellbore based at least partially upon the measurements and the theoretical estimate of the standpipe pressure.

公开(公告)号：US11591894B2

公开(公告)日：2023-02-28

申请号：US16192609

申请日：2018-11-15

Applicant: Schlumberger Technology Corporation

Inventor： Yingwei Yu ,  Qiuhua Liu ,  Richard Meehan ,  Sylvain Chambon ,  Mohammad Hamzah

IPC: G06N7/00 ,  E21B44/00 ,  E21B21/08 ,  G01V1/50 ,  E21B49/00 ,  G01V11/00 ,  G06F30/20 ,  G06N3/04 ,  G06F30/27 ,  G06N3/08 ,  G06F17/15 ,  G06F17/16 ,  G06T13/80

Abstract: 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.

公开(公告)号：US20220397029A1

公开(公告)日：2022-12-15

申请号：US17304151

申请日：2021-06-15

Applicant: Schlumberger Technology Corporation

Inventor： Nathaniel Wicks ,  Yingwei Yu ,  Richard John Meehan ,  Darine Mansour

IPC: E21B44/04 ,  E21B45/00

Abstract: 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.

公开(公告)号：US20200347700A1

公开(公告)日：2020-11-05

申请号：US16604567

申请日：2018-06-15

Applicant: Schlumberger Technology Corporation

Inventor： Yingwei Yu

IPC: E21B41/00 ,  E21B47/00 ,  E21B49/00 ,  E21B47/18

Abstract: A method includes acquiring data associated with a field operation of equipment in a geologic environment; filtering the data using a filter where the filter includes, along a dimension, a single maximum positive value that decreases to a single minimum negative value that increases to approximately zero; and, based on the filtering, issuing a control signal to the equipment in the geologic environment.

公开(公告)号：US12297732B2

公开(公告)日：2025-05-13

申请号：US17304151

申请日：2021-06-15

Applicant: Schlumberger Technology Corporation

Inventor： Nathaniel Wicks ,  Yingwei Yu ,  Richard John Meehan ,  Darine Mansour

IPC: E21B44/04 ,  E21B45/00 ,  G06N3/044 ,  G06N3/088

Abstract: 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.

公开(公告)号：US12078048B2

公开(公告)日：2024-09-03

申请号：US18308881

申请日：2023-04-28

Applicant: Schlumberger Technology Corporation

Inventor： Yingwei Yu ,  Qiuhua Liu ,  Richard John Meehan ,  Sylvain Chambon ,  Mohammad Khairi Hamzah

IPC: E21B44/00 ,  E21B21/08 ,  E21B49/00 ,  G01V1/50 ,  G01V11/00 ,  G06F17/15 ,  G06F17/16 ,  G06F30/20 ,  G06F30/27 ,  G06N3/044 ,  G06N3/047 ,  G06N3/08 ,  G06N7/00 ,  G06T13/80

CPC classification number: E21B44/00 ,  E21B49/003 ,  G01V1/50 ,  G01V11/00 ,  G06F17/15 ,  G06F17/16 ,  G06F30/20 ,  G06F30/27 ,  G06N3/044 ,  G06N3/047 ,  G06N3/08 ,  G06N7/00 ,  E21B21/08 ,  G01V2200/14 ,  G01V2200/16 ,  G06T13/80

Abstract: 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.

公开(公告)号：US11821299B2

公开(公告)日：2023-11-21

申请号：US17044750

申请日：2019-05-14

Applicant: Schlumberger Technology Corporation

Inventor： Wei Chen ,  Yingwei Yu ,  Yuelin Shen ,  Zhengxin Zhang ,  Velizar Vesselinov

IPC: E21B44/00 ,  E21B49/00 ,  G06F18/25

CPC classification number: E21B44/005 ,  E21B44/00 ,  E21B49/003 ,  G06F18/254 ,  E21B2200/20 ,  E21B2200/22

Abstract: Methods, computing systems, and computer-readable media for interpreting drilling dynamics data are described herein. The method can include receiving drilling dynamics data simulated by a processor or collected by a sensor positioned in a drilling tool. The method can further include extracting a feature map from the drilling dynamics data, and determining that a feature zone from the feature map corresponds to a predetermined dynamic state. The feature zone can be determined using a neural network trained to associate feature zones with dynamic states. Additionally, the method can include selecting a drilling parameter for a drill string based on the feature zone.