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1. 发明公开

US20240094429A1 SYSTEMS AND METHODS FOR PROXIMITY DETECTION AND INTERPRETATION OF NEAR PARALLEL CASED WELLS 审中-公开
公开(公告)号：US20240094429A1
公开(公告)日：2024-03-21
申请号：US18468942
申请日：2023-09-18
申请人： Schlumberger Technology Corporation
发明人： Yong-Hua Chen , Saad Omar , Michael Thiel , Lin Liang
IPC分类号： G01V3/20 , E21B47/024 , E21B49/00
CPC分类号： G01V3/20 , E21B47/024 , E21B49/00
摘要： A ranging workflow to interpret the ultradeep harmonic anisotropic attenuation (UHAA) measurements and estimate the distance and orientation of the existing cased well from the well being drilled is presented herein. The ranging workflow applies to scenarios in which the wells are near parallel to each other and performs reasonably well in boreholes which are more or less perpendicular to the formation layers. The ranging workflow generally includes deploying a deep directional resistivity (DDR) tool into a new wellbore; collecting UHAA data via the DDR tool; determining resistivity values based at least in part on the UHAA data; and determining a distance of the DDR tool from a casing of an existing wellbore proximate the new wellbore based at least in part on the resistivity values and a UHAA response table for the DDR tool.

2. 发明公开

US20240094423A1 AUTOMATED METHODS TO DETERMINE PROPERTIES OF LAMINATED RESERVOIR FORMATIONS 审中-公开
公开(公告)号：US20240094423A1
公开(公告)日：2024-03-21
申请号：US18264345
申请日：2022-02-08
申请人： Schlumberger Technology Corporation
发明人： Nicholas Norman Bennett , Ting Lei , Erik Wielemaker , Lin Liang , Romain Prioul , John Adam Donald , Olga Podgornova
IPC分类号： G01V1/50
CPC分类号： G01V1/50 , G01V2210/1299 , G01V2210/47 , G01V2210/6169
摘要： Aspects provide for methods that successfully evaluates multiple compressional and shear arrival events received by a sonic logging tool to evaluate the presence of structures, such as shoulder beds, in downhole environments. In particular, the methods described herein enable automated determination of properties of laminated reservoir formations by, for example, enabling the automated determination of arrival times and slownesses of multiple compressional and shear arrival events received by a sonic logging tool.

3. 发明申请

US20220342111A1 PROCESSES AND SYSTEMS FOR CORRELATING WELL LOGGING DATA 有权
公开(公告)号：US20220342111A1
公开(公告)日：2022-10-27
申请号：US17237473
申请日：2021-04-22
申请人： Schlumberger Technology Corporation
发明人： Lin Liang , Tao Shan , Ji Li
IPC分类号： G01V11/00 , E21B49/08 , E21B49/00
摘要： Processes and systems for correlating well log data sets from well logging passes within a well bore. In some embodiments, a process for well log depth matching can include normalizing a first well log from a first logging pass obtained within a well bore and a second well log from a second logging pass obtained within the well bore, performing a pre-shift, performing feature picking to identify one or more features along the second well log, performing normalized cross-correlation based optimization between the first well log and the second well log to match the one or more features along the second well log to the same one or more features of the first well log and generating a shift table for depth shifting the one or more features of the second well log and the first well log.

4. 发明申请

US20160033673A1 ESTIMATING PETROPHYSICAL PARAMETERS AND INVASION PROFILE USING JOINT INDUCTION AND PRESSURE DATA INVERSION APPROACH 审中-公开
标题翻译：使用联合感应和压力数据反演方法估算物理参数和入侵轮廓
公开(公告)号：US20160033673A1
公开(公告)日：2016-02-04
申请号：US14880404
申请日：2015-10-12
申请人： SCHLUMBERGER TECHNOLOGY CORPORATION
发明人： Lin Liang , Aria Abubakar , Tarek Habashy , Michael Thambynayagam
IPC分类号： G01V3/38 , G01N15/08 , G01V3/28
CPC分类号： G01V3/38 , G01N15/088 , G01V3/28 , Y02A90/344
摘要： Methods and related systems are described relating to an inversion approach for interpreting the geophysical electromagnetic data. The inversion can be constrained by using a multiphase fluid flow simulator (incorporating pressure data if available) which simulates the fluid flow process and calculates the spatial distribution of the water saturation and the salt concentration, which are in turn transformed into the formation conductivity using a resistivity-saturation formula. In this way, the inverted invasion profile is consistent with the fluid flow physics and moreover accounts for gravity segregation effects. Jointly with the pressure data, the inversion estimates a parametric one-dimensional distribution of permeability and porosity. The fluid flow volume is directly inverted from the fluid-flow-constrained inversion of the electromagnetic data. The approach is not limited by the traditional interpretation of the formation test, which is based on a single-phase model without taking into account invasion or assuming that the fluid, for example mud-filtrate, has been cleaned up from the formation testing zone. The joint inversion of the electromagnetic and pressure data provides for a more reliable interpretation of formation permeability. One advantage of the approaches described herein, is its possible generalization to three-dimensional geometries, for example dipping beds and highly deviated wells.
摘要翻译：描述了用于解释地球物理电磁数据的反演方法的方法和相关系统。可以通过使用模拟流体流动过程并计算水饱和度和盐浓度的空间分布的多相流体流动模拟器（包括压力数据（如果可用的话））来限制反转，其进而通过使用电阻率 - 饱和度公式。以这种方式，反向侵入曲线与流体物理学一致，并且还考虑到重力分离效应。与压力数据联合，反演估计了渗透率和孔隙度的参数一维分布。流体流量与电磁数据的流体流限制反转直接相反。该方法不受传统的形成测试的解释的限制，该方法基于单相模型，而不考虑入侵或假设流体，例如泥浆滤液已经从地层测试区域清除。电磁和压力数据的联合反演提供了对地层渗透率的更可靠的解释。本文描述的方法的一个优点是其可能推广到三维几何形状，例如浸渍床和高度偏斜的孔。

5. 发明公开

US20240368984A1 Inversion Method to Estimate Fracture Propagation Velocity and Fracture Volume with Cross-Well Distributed Fiber-Optic Strain Data before Fracture Hit 审中-公开
公开(公告)号：US20240368984A1
公开(公告)日：2024-11-07
申请号：US18652499
申请日：2024-05-01
申请人： Schlumberger Technology Corporation
发明人： Yongzan Liu , Lin Liang , Smaine Zeroug
IPC分类号： E21B49/00 , E21B43/26
CPC分类号： E21B49/006 , E21B43/26
摘要： Systems and methods are provided to obtain fracture parameters of a hydraulic fracturing operation using strain data obtained before a fracture hit. A system may include a strain sensor and processing circuitry. The strain sensor may be disposed downhole in a monitoring well and may obtain strain data while a fracture caused by a hydraulic fracturing operation propagates from a treatment well toward the monitoring well before a fracture hit occurs in the monitoring well. The processing circuitry may perform an inversion based on the strain data to estimate fracture parameters associated with the propagation of the fracture before the fracture hit.

6. 发明申请

US20210165937A1 System and Method for Simulating Reservoir Models 有权
公开(公告)号：US20210165937A1
公开(公告)日：2021-06-03
申请号：US16772792
申请日：2018-12-13
申请人： Schlumberger Technology Corporation
发明人： William J. Bailey , Emilien Dupont , Lin Liang , Peter G. Tilke , Tuanfeng Zhang , Lingchen Zhu
IPC分类号： G06F30/27 , G06N3/04 , G06N3/08 , G01V99/00
摘要： A method, computer program product, and computing system are provided for defining one or more injector completions and one or more producer completions in one or more reservoir models. One or more edges between the one or more injector completions and the one or more producer completions in the one or more reservoir models may be defined. The one or more edges between the one or more injector completions and the one or more producer completions may define a graph network representative of the one or more reservoir models. The one or more reservoir models may be simulated along the one or more edges between the one or more injector completions and the one or more producer completions.

7. 发明申请

US20220082014A1 ESTIMATION OF FLUID SATURATION OF A FORMATION FROM INTEGRATION OF MULTIPLE WELL LOGS 有权
公开(公告)号：US20220082014A1
公开(公告)日：2022-03-17
申请号：US17310988
申请日：2020-03-10
申请人： Schlumberger Technology Corporation
发明人： Chang-Yu Hou , Lin Liang , Lalitha Venkataramanan , Harish Baban Datir , Austin Boyd , Vasileios-Marios Gkortsas
IPC分类号： E21B49/00 , G01V3/34 , E21B47/12
摘要： Methods and systems are provided characterizing a formation traversed by a wellbore, wherein the formation includes at least a flushed zone and an uninvaded zone, which involve obtaining well log data based on plurality of different well log measurements of the formation at multiple depths in the wellbore. The well log data is used to a computational model that solves for a set of petrophysical parameters that characterize a portion of the formation corresponding to the multiple depths in the wellbore, wherein the set of petrophysical parameters include a cementation exponent, a saturation exponent, and a flushed zone water resistivity. The solved-for set of petrophysical parameters can be used to determine a value of water saturation of the uninvaded zone for the portion of the formation corresponding to the multiple depths in the wellbore.

8. 发明申请

US20200096663A1 METHOD FOR DETERMINING PROPERTIES OF A THINLY LAMINATED FORMATION BY INVERSION OF MULTISENSOR WELLBORE LOGGING DATA 审中-公开
公开(公告)号：US20200096663A1
公开(公告)日：2020-03-26
申请号：US16612320
申请日：2018-04-23
申请人： SCHLUMBERGER TECHNOLOGY CORPORATION
发明人： Sushil Shetty , Qiwei Zhan , Lin Liang , Austin Boyd , Smaine Zeroug , Vanessa Simoes , Fabio Cesar Canesin
IPC分类号： G01V1/50 , E21B49/00 , E21B43/02 , E21B47/00
摘要： 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).

9. 发明申请

US20180058211A1 JOINT INVERSION OF DOWNHOLE TOOL MEASUREMENTS 审中-公开
公开(公告)号：US20180058211A1
公开(公告)日：2018-03-01
申请号：US15690306
申请日：2017-08-30
申请人： Schlumberger Technology Corporation
发明人： Lin Liang , Aria Abubakar , Tarek M. Habashy
IPC分类号： E21B49/00 , E21B44/00 , G01V1/28
CPC分类号： E21B49/00 , E21B44/00 , G01V1/282 , G01V1/306 , G01V1/50 , G01V3/26 , G01V3/38 , G01V11/00 , G01V2200/16 , G01V2210/614 , G01V2210/6163 , G01V2210/6167 , G01V2210/6169 , G01V2210/6244 , G01V2210/6246 , G01V2210/6248
摘要： A method includes acquiring measurement values from at least two different types of downhole tools disposed in a portion of a bore in a formation; selecting formation parameters for joint inversion; building a near-bore fluid flow model of at least a portion of the formation that includes at least the portion of the bore; simulating fluid flow based at least in part on the near-bore fluid flow model and the selected formation parameters to generate simulated measurement values; comparing the acquired measurement values and the simulated measurement values; based at least in part on the comparing, revising at least one of the selected formation parameters to generate revised formation parameters and simulating fluid flow based at least in part on the near-bore fluid flow model and the revised formation parameters to generate revised simulated measurement values; and outputting at least the revised formation parameters to characterize the formation.

10. 发明授权

US12072462B2 Machine learning enhanced borehole sonic data interpretation 有权
公开(公告)号：US12072462B2
公开(公告)日：2024-08-27
申请号：US17618714
申请日：2020-06-13
申请人： Schlumberger Technology Corporation
发明人： Lin Liang , Ting Lei
IPC分类号： G01V1/50 , G01V1/46 , G06N3/08
CPC分类号： G01V1/50 , G01V1/46 , G06N3/08 , G01V2210/20 , G01V2210/626
摘要： 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.

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