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公开(公告)号：US20170235016A1
公开(公告)日：2017-08-17
申请号：US15501866
申请日：2015-07-23
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Romain Prioul , Safdar Abbas , Ridvan Akkurt
CPC classification number: G01V11/002 , E21B49/005 , E21B49/006 , E21B49/02 , G01N21/3563 , G01N21/718 , G01N29/04 , G01N29/07 , G01N33/24 , G01N2021/3595 , G01N2291/028 , G01N2291/02827 , G01N2291/105 , G01V99/005
Abstract: Anisotropic elastic properties and subsequently in situ stress properties for a rock formation surrounding a wellbore are computed from rock physics and geomechanical models. Mineralogy data measured from DRIFTS on cuttings from the wellbore and rock physics and geomechanical models that have been log-calibrated in another wellbore are used in the computation. The method includes: (1) Defining and calibrating rock physics and geomechanical models using data from the first wellbore; (2) using DRIFTS analysis to measure mineralogy data on rock cuttings obtained through drilling operation in the second wellbore; and (3) using previously calibrated models to estimate in situ stress properties, including a stress index and the minimum principal stress magnitude.
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公开(公告)号：US11694095B2
公开(公告)日：2023-07-04
申请号：US16499310
申请日：2018-05-07
Applicant: Schlumberger Technology Corporation
Inventor： Ridvan Akkurt , David Psaila
CPC classification number: G06N5/04 , G01V5/10 , G01V5/12 , G01V11/00 , G06N5/02 , G06N20/10 , G01V1/50 , G01V2210/6244 , G01V2210/6246
Abstract: A method includes receiving well log data for a plurality of wells. A flag is generated based at least partially on the well log data. The wells are sorted into groups based at least partially on the well log data, the flag, or both. A model is built for each of the wells based at least partially on the well log data, the flag, and the groups.
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公开(公告)号：US20190011517A1
公开(公告)日：2019-01-10
申请号：US15943787
申请日：2018-04-03
Applicant: Schlumberger Technology Corporation
Inventor： Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
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14.发明申请Reservoir and Completion Quality Assessment in Unconventional (Shale Gas) Wells Without Logs or Core 审中-公开非常规（页岩气）水库和完井质量评估无井筒或核心井公开(公告)号：US20150240633A1
公开(公告)日：2015-08-27
申请号：US14615632
申请日：2015-02-06
Applicant: Schlumberger Technology Corporation
Inventor： Ridvan Akkurt , Romain Charles Andre Prioul , Andrew E. Pomerantz
CPC classification number: E21B49/005 , E21B21/066 , E21B43/26 , E21B49/088
Abstract: Embodiments herein relate to a method for recovering hydrocarbons from a formation including collecting and analyzing a formation sample, drilling operation data, and wellbore pressure measurement, estimating a reservoir and completion quality, and performing an oil field service in a region of the formation comprising the quality. In some embodiments, the formation sample is a solid collected from the drilling operation or includes cuttings or a core sample.
Abstract translation: 本文的实施方案涉及从地层中回收碳氢化合物的方法，包括收集和分析地层样品，钻井作业数据和井眼压力测量，估计储层和完井质量，以及在地层的区域内执行油田服务， 质量。 在一些实施方案中，地层样品是从钻井操作收集的固体或包括切屑或芯样品。
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公开(公告)号：US20150177351A1
公开(公告)日：2015-06-25
申请号：US14406503
申请日：2013-05-24
Applicant: Schlumberger Technology Corporation
Inventor： Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
CPC classification number: G01R33/54 , G01N24/08 , G01N24/081 , G01R33/448 , G01V3/14 , G01V3/32 , G01V3/38
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
Abstract translation: 提供了一种用于通过使用NMR设备使用NMR设备对样品进行核磁共振（NMR）序列来检测含有烃的方法，以响应于NMR序列检测来自样品的信号，分析信号以提取 弛豫时间（或扩散）的分布，以及将样本的参数的值计算为弛豫时间（或扩散）中的至少一个的函数，其中所述计算利用修正因子，其将所述参数的值修改为 松弛时间的函数至少较短的弛豫时间（或作为至少大的扩散系数的扩散的函数）。
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Patent Agency Ranking
16.发明申请公开(公告)号：US20150134255A1
公开(公告)日：2015-05-14
申请号：US14536289
申请日：2014-11-07
Applicant: Schlumberger Technology Corporation
Inventor： Tuanfeng Zhang , Neil F. Hurley , Ridvan Akkurt , David McCormick , Shu Zhang
Abstract: Methods of generating structural models of highly deviated or horizontal wells may be generated from the measurement of true stratigraphic thickness in three dimensions (TST3D). In one aspect, methods may include generating a structural model from one or more deviation surveys of a horizontal well, one or more single channel log measurements, and a three-dimensional reference surface.
Abstract translation: 可以从三维（TST3D）的真实地层厚度的测量中产生产生高度偏斜或水平井结构模型的方法。 一方面，方法可以包括从水平井，一个或多个单通道对数测量和三维参考表面的一个或多个偏差调查中产生结构模型。
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公开(公告)号：US20240240558A1
公开(公告)日：2024-07-18
申请号：US18559190
申请日：2022-05-06
Applicant: Schlumberger Technology Corporation
Inventor： Albert Ballard Andrews , Andrew J. Speck , Ridvan Akkurt , Oliver C. Mullins , Shawn David Taylor
CPC classification number: E21B49/0875 , G01N21/65 , B65G5/00 , E21B2200/20
Abstract: Systems and methods presented herein are configured to monitor gas storage in a well and, more specifically, to invert optical measurements to predict the fractional molar composition of an unknown composition of a gas mixture comprised of hydrogen, carbon dioxide, other gases, or combinations thereof, in any underground reservoir or salt dome where hydrogen, carbon dioxide, and/or the other gases are stored or exist.
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公开(公告)号：US20220018983A1
公开(公告)日：2022-01-20
申请号：US17250941
申请日：2019-10-01
Applicant: Schlumberger Technology Corporation
Inventor： Bassem Khadhraoui , Lu Duc Duong Lam , Ridvan Akkurt , Hiroaki Yamamoto , Erik Wielemaker , Saad Kisra
Abstract: Sonic logging data including a sonic waveform associated with a plurality of shot gathers is accessed. A transformation operator is applied to the sonic logging data to provide a transformed sonic image, the transformation operator including at least one of a short time average long time average (STA/LTA) operator, a phase shift operator, and a deconvolution operator. A machine learning process is performed using the transformed sonic image to determine a sonic slowness associated with the sonic logging data. The sonic slowness is provided as an output.
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公开(公告)号：US20210110280A1
公开(公告)日：2021-04-15
申请号：US16499310
申请日：2018-05-07
Applicant: Schlumberger Technology Corporation
Inventor： Ridvan Akkurt , David Psaila
Abstract: A method includes receiving well log data for a plurality of wells. A flag is generated based at least partially on the well log data. The wells are sorted into groups based at least partially on the well log data, the flag, or both. A model is built for each of the wells based at least partially on the well log data, the flag, and the groups.
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公开(公告)号：US10802099B2
公开(公告)日：2020-10-13
申请号：US15943787
申请日：2018-04-03
Applicant: Schlumberger Technology Corporation
Inventor： Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
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