公开(公告)号：US20190227184A1

公开(公告)日：2019-07-25

申请号：US15876712

申请日：2018-01-22

Applicant: Schlumberger Technology Corporation

Inventor： Theo Cuny ,  Ali Ozbek ,  Arthur Hartog

IPC: G01V1/16 ,  G01D5/28 ,  G01V1/52

Abstract: Techniques are disclosed that facilitate use of a distributed vibration sensing system for collecting data in a well application to provide improved collection of strain related data, such as for a seismic survey. The techniques facilitate selection of a variable optimal gauge length that optimally preserves the signal bandwidth and temporal resolution of the sensing system and that can be tuned using the actual apparent velocity and maximum recoverable frequency of the monitored parameters. Techniques for real-time processing of DVS data using a preliminary variable optimal gauge length are disclosed, as well as techniques for re-processing the DVS data at a later time using an updated variable optimal gauge length that is derived from the preliminary processing of the DVS data.

公开(公告)号：US20150112601A1

公开(公告)日：2015-04-23

申请号：US14397196

申请日：2013-06-21

Applicant: Schlumberger Technology Corporation

Inventor： Ali Ozbek ,  Julian Drew ,  Anthony Probert ,  Daniel Gordon Raymer

IPC: G01V1/30 ,  G01V1/00

CPC classification number: G01V1/30 ,  G01V1/003 ,  G01V1/288 ,  G01V1/362 ,  G01V1/366 ,  G01V2210/32 ,  G01V2210/322 ,  G01V2210/60 ,  G01V2210/63 ,  G01V2210/74

Abstract: Seismic data processing using one or more non-linear stacking enabling detection of weak signals relative to noise levels. The non-linear stacking includes a double phase, a double phase-weighted, a real phasor, a squared real phasor, a phase and an N-th root stack. Microseismic signals as recorded by one or more seismic detectors and transformed by transforming the signal to enhance detection of arrivals. The transforms enable the generation of an image, or map, representative of the likelihood that there was a source of seismic energy occurring at a given point in time at a particular point in space, which may be used, for example, in monitoring operations such as hydraulic fracturing, fluid production, water flooding, steam flooding, gas flooding, and formation compaction.

Abstract translation: 使用一个或多个非线性堆叠的地震数据处理能够检测相对于噪声水平的弱信号。 非线性堆叠包括双相，双相加权，实际相量，平方实际相量，相位和第N根根堆栈。 通过一个或多个地震检测器记录的微震信号，并通过变换信号进行变换，以增强对到达的检测。 该变换使得能够生成表示在特定空间的某个时间点处发生地震能量的可能性的图像或地图，其可以用于例如监视操作 水力压裂，流体生产，水驱，蒸汽驱，气体驱油和地层压实。

公开(公告)号：US12106028B2

公开(公告)日：2024-10-01

申请号：US18060977

申请日：2022-12-02

Applicant: Schlumberger Technology Corporation

Inventor： Ali Ozbek ,  Riadh Boualleg ,  Ling Li

IPC: E21B7/04 ,  E21B41/00 ,  E21B44/00 ,  E21B49/00 ,  G06F30/13 ,  G06F30/27

CPC classification number: G06F30/27 ,  E21B7/04 ,  E21B41/00 ,  E21B44/00 ,  E21B49/00 ,  G06F30/13 ,  E21B2200/20 ,  E21B2200/22

Abstract: A method to design well trajectories includes determining dogleg severity as a function of inclination, and a corresponding rate of penetration performance of the tool by a hybrid model including physical modelling and machine learning correction. The method includes solving for optimal steering parameters to predict a dogleg severity as close as possible to a desired dogleg severity at a given inclination of the trajectory, which is repeated for dogleg severity and inclination combinations of interest. The rate of penetration for feasible points is also determined and a rate of penetration (or time-to-target) map can be produced. Potential trajectories are then evaluated relative to the map to estimate drilling time-to-target, and an optimal trajectory can be selected that has a lowest time-to-target while also being feasible for the tool and optionally avoiding risks or downhole obstacles.

公开(公告)号：US12086515B2

公开(公告)日：2024-09-10

申请号：US17999291

申请日：2021-05-20

Applicant: Schlumberger Technology Corporation

Inventor： Valerian Guillot ,  Florian Karpfinger ,  Ali Ozbek ,  Riadh Boualleg ,  Ling Li

IPC: E21B7/04 ,  E21B41/00 ,  E21B44/00 ,  E21B49/00 ,  G06F30/13 ,  G06F30/27

CPC classification number: G06F30/27 ,  E21B7/04 ,  E21B41/00 ,  E21B44/00 ,  E21B49/00 ,  G06F30/13 ,  E21B2200/20 ,  E21B2200/22

Abstract: A method to design well trajectories includes determining dogleg severity as a function of inclination, and a corresponding rate of penetration performance of the tool by a hybrid model including physical modelling and machine learning correction. The method includes solving for optimal steering parameters to predict a dogleg severity as close as possible to a desired dogleg severity at a given inclination of the trajectory, which is repeated for dogleg severity and inclination combinations of interest. The rate of penetration for feasible points is also determined and a rate of penetration (or time-to-target) map can be produced. Potential trajectories are then evaluated relative to the map to estimate drilling time-to-target, and an optimal trajectory can be selected that has a lowest time-to-target while also being feasible for the tool and optionally avoiding risks or downhole obstacles.

公开(公告)号：US20230186000A1

公开(公告)日：2023-06-15

申请号：US18060977

申请日：2022-12-02

Applicant: Schlumberger Technology Corporation

Inventor： Ali Ozbek ,  Riadh Boualleg ,  Ling Li

IPC: G06F30/27 ,  E21B7/04 ,  E21B41/00 ,  G06F30/10

CPC classification number: G06F30/27 ,  E21B7/04 ,  E21B41/00 ,  G06F30/10 ,  E21B2200/20 ,  E21B2200/22

Abstract: A method to design well trajectories includes determining dogleg severity as a function of inclination, and a corresponding rate of penetration performance of the tool by a hybrid model including physical modelling and machine learning correction. The method includes solving for optimal steering parameters to predict a dogleg severity as close as possible to a desired dogleg severity at a given inclination of the trajectory, which is repeated for dogleg severity and inclination combinations of interest. The rate of penetration for feasible points is also determined and a rate of penetration (or time-to-target) map can be produced. Potential trajectories are then evaluated relative to the map to estimate drilling time-to-target, and an optimal trajectory can be selected that has a lowest time-to-target while also being feasible for the tool and optionally avoiding risks or downhole obstacles.

公开(公告)号：US20150177400A1

公开(公告)日：2015-06-25

申请号：US14409515

申请日：2013-06-21

Applicant: Schlumberger Technology Corporation

Inventor： Ali Ozbek ,  Anthony Probert ,  Daniel Gordon Raymer

IPC: G01V1/30

CPC classification number: G01V1/30 ,  G01V1/003 ,  G01V1/288 ,  G01V1/362 ,  G01V1/366 ,  G01V2210/32 ,  G01V2210/322 ,  G01V2210/60 ,  G01V2210/63 ,  G01V2210/74

Abstract: Utilizing the phase component of a moment tensor for a seismic data signal, isolated from the amplitude component, by automatically detecting polarity changes that occur over a focal mechanism of the seismic event, and correcting for such polarity reversals. Transforming seismic (including microseismic) signals as recorded by one or more seismic detectors to enhance detection of arrivals. The transforms enable the generation of an image, or map, representative of the likelihood that there was a source of seismic energy occurring at a given point in time at a particular point in time.

Abstract translation: 通过自动检测在地震事件的焦点机制上发生的极性变化，并且对这种极性反转进行校正，利用与振幅分量隔离的地震数据信号的相位分量。 通过一个或多个地震探测器记录的地震（包括微震）信号进行变换，以增强对到达物的检测。 该变换使得能够生成代表在特定时间点在给定时间点发生地震能量的可能性的图像或地图。

公开(公告)号：US20230195952A1

公开(公告)日：2023-06-22

申请号：US17999291

申请日：2021-05-20

Applicant: Schlumberger Technology Corporation

Inventor： Valerian Guillot ,  Florian Karpfinger ,  Ali Ozbek ,  Riadh Boualleg ,  Ling Li

IPC: G06F30/13 ,  E21B44/00 ,  E21B7/04 ,  E21B41/00 ,  E21B49/00

CPC classification number: G06F30/13 ,  E21B7/04 ,  E21B41/00 ,  E21B44/00 ,  E21B49/00 ,  E21B2200/20

Abstract: A method to design well trajectories includes determining dogleg severity as a function of inclination, and a corresponding rate of penetration performance of the tool by a hybrid model including physical modelling and machine learning correction. The method includes solving for optimal steering parameters to predict a dogleg severity as close as possible to a desired dogleg severity at a given inclination of the trajectory, which is repeated for dogleg severity and inclination combinations of interest. The rate of penetration for feasible points is also determined and a rate of penetration (or time-to-target) map can be produced. Potential trajectories are then evaluated relative to the map to estimate drilling time-to-target, and an optimal trajectory can be selected that has a lowest time-to-target while also being feasible for the tool and optionally avoiding risks or downhole obstacles.