公开(公告)号：US12072462B2

公开(公告)日：2024-08-27

申请号：US17618714

申请日：2020-06-13

Applicant: Schlumberger Technology Corporation

Inventor： Lin Liang ,  Ting Lei

IPC: G01V1/50 ,  G01V1/46 ,  G06N3/08

CPC classification number: G01V1/50 ,  G01V1/46 ,  G06N3/08 ,  G01V2210/20 ,  G01V2210/626

Abstract: The subject disclosure relates to the interpretation of borehole sonic data using machine learning. In one example of a method in accordance with aspects of the instant disclosure, borehole sonic data is received, and machine learning is used to interpret the borehole sonic data.

公开(公告)号：US20240141773A1

公开(公告)日：2024-05-02

申请号：US18494878

申请日：2023-10-26

Applicant: Schlumberger Technology Corporation

Inventor： Jun Tao Ma ,  Lin Liang ,  Xi Yan ,  Gong Rui Yan ,  Marie Van Steene ,  Wael Abdallah ,  Shouxiang Ma

IPC: E21B47/003 ,  E21B47/01

CPC classification number: E21B47/003 ,  E21B47/01

Abstract: A method may include acquiring NMR data and sonic data for a borehole in a subsurface geologic region; inverting the NMR data and the sonic data to determine volume fractions for a number of classes of pore types, where the classes include shape and size-based classes; and characterizing the subsurface geologic region based on the volume fractions for the number of classes.

公开(公告)号：US11422280B2

公开(公告)日：2022-08-23

申请号：US16612320

申请日：2018-04-23

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Sushil Shetty ,  Qiwei Zhan ,  Lin Liang ,  Austin Boyd ,  Smaine Zeroug ,  Vanessa Simoes ,  Fabio Cesar Canesin

IPC: G01V1/50 ,  E21B43/02 ,  E21B49/00 ,  E21B47/005

Abstract: A method for determining properties of a laminated formation traversed by a well or wellbore employs measured sonic data, resistivity data, and density data for an interval-of-interest within the well or wellbore. A formation model that describe properties of the laminated formation at the interval-of-interest is derived from the measured sonic data, resistivity data, and density data for the interval-of-interest. The formation model represents the laminated formation at the interval-of-interest as first and second zones of different first and second rock types. The formation model is used to derive simulated sonic data, resistivity data, and density data for the interval-of-interest. The measured sonic data, resistivity data, and density data for the interval-of-interest and the simulated sonic data, resistivity data, and density data for the interval-of-interest are used to refine the formation model and determine properties of the formation at the interval-of-interest. The properties of the formation may be a radial profile for porosity, a radial profile for water saturation, a radial profile for gas saturation, radial profile of oil saturation, and radial profiles for pore shapes for the first and second zones (or rock types).

公开(公告)号：US20220244419A1

公开(公告)日：2022-08-04

申请号：US17618714

申请日：2020-06-13

Applicant: Schlumberger Technology Corporation

Inventor： Lin Liang ,  Ting Lei

IPC: G01V1/50 ,  G06N3/08 ,  G01V1/46

Abstract: The subject disclosure relates to the interpretation of borehole sonic data using machine learning. In one example of a method in accordance with aspects of the instant disclosure, borehole sonic data is received, and machine learning is used to interpret the borehole sonic data.

公开(公告)号：US20210396904A1

公开(公告)日：2021-12-23

申请号：US16761471

申请日：2018-11-06

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION ,  SCHLUMBERGER CANADA LIMITED ,  SERVICES PETROLIERS SCHLUMBERGER ,  SCHLUMBERGER TECHNOLOGY B.V.

Inventor： Lalitha Venkataramanan ,  Lin Liang ,  Vasileios-Marios Gkortsas ,  Khaled Hadj-Sassi ,  Albina Mutina ,  Tarek Habashy

IPC: G01V3/32 ,  G01V3/40

Abstract: A method, computer program product, and computing system for receiving downhole logging data for a porous media. A pore size distribution index may be estimated based upon, at least in part, nuclear magnetic resonance data (NMR) from the downhole logging data of the porous media. A relative permeability and capillary pressure curve may be generated with a feasible region of solutions based upon, at least in part, the pore size distribution index.

公开(公告)号：US20210181370A1

公开(公告)日：2021-06-17

申请号：US16760861

申请日：2018-10-30

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Timon Zimmermann ,  Lin Liang ,  Smaine Zeroug

IPC: G01V5/04 ,  G01V5/12 ,  G06N3/04 ,  G06N3/08

Abstract: A method and computing system device for receiving a plurality of well logs. A depth shift between at least one well log of the plurality of well logs and at least one other well log may be determined based upon, at least in part, processing the plurality of well logs with a neural network. The plurality of well logs may be matched with one another based upon, at least in part, the depth shift between the at least one well log and the at least one other well log.

公开(公告)号：US10365405B2

公开(公告)日：2019-07-30

申请号：US15544187

申请日：2016-01-25

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Sushil Shetty ,  Lin Liang ,  Tarek M. Habashy ,  Vanessa Simoes ,  Austin Boyd ,  Bikash K. Sinha ,  Smaine Zeroug

IPC: G01V99/00 ,  G01V11/00 ,  G01N15/08

Abstract: A computer-implemented method is provided for determining properties of a formation traversed by a well or wellbore. A formation model describing formation properties at an interval-of-interest within the well or wellbore is derived from measured sonic data, resistivity data, and density data for the interval-of-interest. The formation model is used as input to a plurality of petrophysical transforms and corresponding tool response simulators that derive simulated sonic data, resistivity data, and density data for the interval-of-interest. The measured sonic data, resistivity data, and density data for the interval-of-interest and the simulated sonic data, resistivity data, and density data for the interval-of-interest are used by an inversion process to refine the formation model and determine properties of the formation at the interval-of-interest. In embodiments, properties of the formation may be radial profiles for porosity, water saturation, gas or oil saturation, or pore aspect ratio.

公开(公告)号：US20150205002A1

公开(公告)日：2015-07-23

申请号：US14414704

申请日：2013-07-25

Applicant: Schlumberger Technology Corporation

Inventor： Lin Liang ,  Maokun Li ,  Aria Abubakar ,  Tarek M. Habashy ,  Henry Menkiti ,  Igor Borodin ,  Les Nutt

IPC: G01V99/00 ,  G06F17/10

Abstract: A method for analyzing a reservoir parameter, the method including obtaining baseline borehole seismic (BHS) measurements and monitor BHS measurements, calculating, by a processor, a baseline velocity model from the baseline BHS measurements, calculating, by the processor, a monitor velocity model from the monitor BHS measurements, and determining a model change in the reservoir parameter by comparing the baseline velocity model and the monitor velocity model.

Abstract translation: 一种用于分析储层参数的方法，所述方法包括获得基准井眼地震（BHS）测量和监测BHS测量，由处理器根据基线BHS测量计算基线速度模型，由处理器计算监测速度模型 通过监测BHS测量，并通过比较基线速度模型和监测速度模型来确定油藏参数的模型变化。