公开(公告)号：WO2021010943A1

公开(公告)日：2021-01-21

申请号：PCT/US2019/041612

申请日：2019-07-12

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： SAIDUTTA, Yashas Malur ,  MADASU, Srinath ,  DANDE, Shashi ,  RANGARAJAN, Keshava Prasad ,  PANDYA, Raja Vikram R. ,  YARUS, Jeffrey M. ,  SAMUEL, Robello

IPC: E21B41/00 ,  E21B44/00

Abstract: A drilling device may use a concurrent path planning process to create a path from a starting location to a destination location within a subterranean environment. The drilling device can receive sensor data. A probability distribution can be generated from the sensor data indicating one or more likely materials compositions that make up each portion of the subterranean environment. The probability distribution can be sampled, and for each sample, a drill path trajectory and drill parameters for the trajectory can be generated. A trained neural network may evaluate each trajectory and drill parameters to identify the most ideal trajectory based on the sensor data. The drilling device may then initiate drilling operations for a predetermined distance along the ideal trajectory.

公开(公告)号：WO2021041251A1

公开(公告)日：2021-03-04

申请号：PCT/US2020/047498

申请日：2020-08-21

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： RANGARAJAN, Keshava Prasad ,  PANDYA, Raja Vikram R. ,  MADASU, Srinath ,  DANDE, Shashi

IPC: G06Q50/02 ,  G06N3/08 ,  G06N20/00 ,  H04L9/06 ,  H04L29/08

Abstract: A system for managing well site operations comprising a well site operations module, a chain of blocks of a distributed network, and a sensor bank and control module. The operations module generates earth model variables using a physics model, well log variables or seismic variables, or both, and a trained AI/ML algorithmic model. The chain of blocks comprises a plurality of subsequent blocks. Each subsequent block comprises a well site entry and a hash value of a previous well site entry. A well site entry comprises transacted operation control variables. The well site operations module generates production operation control variables or development operation control variables from earth model variables. The well site entry can also include transacted earth model variables and sensor variables. The sensor bank and control module provides well log variables and the operations module couples control variables to the control module to control well site equipment.

公开(公告)号：WO2021040829A1

公开(公告)日：2021-03-04

申请号：PCT/US2020/036465

申请日：2020-06-05

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： SAIDUTTA, Yashas Malur ,  PANDYA, Raja Vikram R. ,  MADASU, Srinath ,  DANDE, Shashi ,  RANGARAJAN, Keshava

IPC: E21B41/00 ,  G06N3/08 ,  E21B47/26

Abstract: Systems and methods for automated drilling control and optimization are disclosed. Training data, including values of drilling parameters, for a current stage of a drilling operation are acquired. A reinforcement learning model is trained to estimate values of the drilling parameters for a subsequent stage of the drilling operation to be performed, based on the acquired training data and a reward policy mapping inputs and outputs of the model. The subsequent stage of the drilling operation is performed based on the values of the drilling parameters estimated using the trained model. A difference between the estimated and actual values of the drilling parameters is calculated, based on real-time data acquired during the subsequent stage of the drilling operation. The reinforcement learning model is retrained to refine the reward policy, based on the calculated difference. At least one additional stage of the drilling operation is performed using the retrained model.