公开(公告)号：US20240126959A1

公开(公告)日：2024-04-18

申请号：US18546108

申请日：2022-02-11

申请人： Schlumberger Technology Corporation

发明人： Kassem Ghorayeb ,  Hussein Mustapha

IPC分类号： G06F30/28

CPC分类号： G06F30/28

摘要： A method can include receiving sample information for reservoir fluid samples and automatically selecting one or more equations of state from a plurality of different equations of state, which can suitably match the reservoir fluid samples and/or other samples. Such a method can also include automatically generating initial conditions based at least in part on sample information where such initial conditions along with one or more selected equations of state can be utilized in simulating physical phenomena using at least a reservoir model to generate simulation results. Such a method can include outputting at least a portion of the simulation results, which may be utilized in one or more processes.

公开(公告)号：US20240346608A1

公开(公告)日：2024-10-17

申请号：US18294476

申请日：2022-08-02

申请人： Schlumberger Technology Corporation

发明人： Kassem Ghorayeb ,  Hussein Hayek ,  Ahmad Harb ,  Tarek Naous

IPC分类号： G06Q50/06 ,  E21B41/00 ,  G06N3/0499 ,  G06N3/084 ,  G06Q10/0631

CPC分类号： G06Q50/06 ,  G06N3/0499 ,  G06N3/084 ,  G06Q10/06313 ,  E21B41/00

摘要： A method may include receiving input data of one or more reservoir well section locations and a facility location and initializing the machine learning algorithm based on the input data. Moreover, the machine learning model may be trained to determine one or more well trajectories that adhere to a set of constraints based on a training dataset of predefined well trajectory solutions. The method may also include determining, via the machine learning algorithm, a well trajectory design between the facility location and at least one of the reservoir well section locations based on the facility location and the reservoir well section location.