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公开(公告)号：US20180188161A1
公开(公告)日：2018-07-05
申请号：US15398399
申请日：2017-01-04
Applicant: Schlumberger Technology Corporation
Inventor： Paul Ryan Craddock , Michael David Prange , Andrew Emil Pomerantz
CPC classification number: G01N21/35 , G01N21/3563 , G01N33/28 , G01N2021/3595 , G01N2201/129
Abstract: A method for estimating a value of a kerogen property in a subsurface formation where the value of the kerogen property is unknown. The method includes: measuring spectral intensity values over an infrared (IR) spectral range for a selected sample from the subsurface formation; determining a range of values representing the measured spectral intensity values corresponding to a vibrational mode attributable to kerogen in the selected sample, the range of values including values representing uncertainty in the measured spectral intensity over the portion of the spectral range; and inputting values from the range of values into a stochastic or simple regression model to determine an estimated value of the kerogen property in the selected sample.
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公开(公告)号：US10215690B2
公开(公告)日：2019-02-26
申请号：US15398399
申请日：2017-01-04
Applicant: Schlumberger Technology Corporation
Inventor： Paul Ryan Craddock , Michael David Prange , Andrew Emil Pomerantz
Abstract: A method for estimating a value of a kerogen property in a subsurface formation where the value of the kerogen property is unknown. The method includes: measuring spectral intensity values over an infrared (IR) spectral range for a selected sample from the subsurface formation; determining a range of values representing the measured spectral intensity values corresponding to a vibrational mode attributable to kerogen in the selected sample, the range of values including values representing uncertainty in the measured spectral intensity over the portion of the spectral range; and inputting values from the range of values into a stochastic or simple regression model to determine an estimated value of the kerogen property in the selected sample.
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公开(公告)号：US20160266275A1
公开(公告)日：2016-09-15
申请号：US15062826
申请日：2016-03-07
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Ridvan Akkurt , Se Un Park , Paul Ryan Craddock
CPC classification number: E21B49/00 , E21B49/005
Abstract: Techniques for quantifying minerals in a formation sample include using a joint inversion of DRIFTS (diffuse reflectance infrared Fourier transform spectroscopy) spectra and XRF (X-ray fluorescence) data. This joint inversion produces quantification of additional minerals (e.g. pyrite and barite) than those quantified by the individual inversion method (DRIFTS-only). The method is applied to oilfield reservoir samples and the mineralogy solution is compared to the DRIFTS-only solution and to mineralogy estimated from benchmark FTIR (transmission Fourier transform infrared spectroscopy) method.
Abstract translation: 用于量化地层样品中的矿物质的技术包括使用DRIFTS（漫反射红外傅里叶变换光谱）谱和XRF（X射线荧光）数据的联合反演。 这种联合反演比通过单独反转方法量化的那些（仅限DRIFTS）产生额外的矿物质（例如黄铁矿和重晶石）的量化。 该方法适用于油田储层样品，将矿物溶液与仅限DRIFTS溶液和基准FTIR（透射傅里叶变换红外光谱）方法估算的矿物相比较。
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4.发明授权公开(公告)号：US12253508B2
公开(公告)日：2025-03-18
申请号：US17907409
申请日：2021-03-09
Applicant: Schlumberger Technology Corporation
Inventor： Bastian Christoph Eddie Sauerer , Paul Ryan Craddock , Wael Abdallah
IPC: G01N33/24 , E21B49/02 , G01J3/44 , G01N21/3563 , G01N21/65
Abstract: A method for characterizing organic matter in a geological rock formation includes performing a Raman spectroscopy measurement on a rock sample to acquire a Raman spectrum of the rock sample. The method includes analyzing the Raman spectrum of the rock sample to determine data characterizing at least one Raman spectral feature corresponding to the rock sample, inputting the data characterizing the at least one Raman spectral feature corresponding to the rock sample into a computation model that determines a value of a property of organic matter in the rock sample, and storing or outputting or displaying the value of the property of organic matter in the rock sample. In embodiments, the property of organic material in the rock sample can be a property of kerogen in the rock sample, or a property of asphaltenes or bitumen in the rock sample.
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公开(公告)号：US20250052924A1
公开(公告)日：2025-02-13
申请号：US18723648
申请日：2023-01-05
Applicant: Schlumberger Technology Corporation
Inventor： Paul Ryan Craddock , Jeffrey Miles , Lalitha Venkataramanan , Harish Baban Datir , Prakhar Srivastava
Abstract: Rock properties of a geological formation may be determined using data representing elemental concentration within the geological formation. For example, the data representing the elemental concentration within the geological formation may be provided as input to a mapping function. The mapping function may capture nonlinear relationships among the concentrations of measurable elements in geological rock formation(s) and certain rock properties of said rock formation(s). Embodiments of the present disclosure are directed to techniques that improve determinations of rock properties of geological formations.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20230118696A1
公开(公告)日：2023-04-20
申请号：US17907409
申请日：2021-03-09
Applicant: Schlumberger Technology Corporation
Inventor： Bastian Christoph Eddie Sauerer , Paul Ryan Craddock , Wael Abdallah
IPC: G01N33/24 , G01N21/65 , G01N21/3563
Abstract: Methods are provided for characterizing organic matter in a geological rock formation that perform a Raman spectroscopy measurement on a rock sample of the formation to acquire a Raman spectrum of the rock sample. At least one processor is used to perform operations that involve i) analyzing the Raman spectrum of the rock sample to determine data characterizing at least one Raman spectral feature corresponding to the rock sample, ii) inputting the data characterizing the at least one Raman spectral feature corresponding to the rock sample into a computation model that determines a value of a property of organic matter in the rock sample given the data characterizing the at least one Raman spectral feature as input, and storing or outputting or displaying the value of the property of organic matter in the rock sample. In embodiments, the property of organic material in the rock sample can be a property of kerogen in the rock sample, or a property of asphaltenes or bitumen in the rock sample.
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公开(公告)号：US20150094960A1
公开(公告)日：2015-04-02
申请号：US14505322
申请日：2014-10-02
Applicant: Schlumberger Technology Corporation
Inventor： Ravinath Kausik Kadayam Viswanathan , Andrew E. Pomerantz , Richard Lewis , Paul Ryan Craddock , Robert L. Kleinberg , Frank P. Shray , Stacy Lynn Reeder Blanco
Abstract: Techniques for calculating metrics for reservoir quality based on light oil and total organic carbon in tight oil reservoirs are described. The techniques include calculating quantities of light oil and total organic carbon from logging data and generating therefrom a continuous log for reservoir quality metric. Additionally new reservoir quality indices are presented that more accurately predict reservoir quality in tight oil plays.
Abstract translation: 描述了基于轻油和紧密油藏中总有机碳计算油藏质量指标的技术。 这些技术包括从记录数据中计算轻油和总有机碳的量，并由此生成用于油藏质量度量的连续对数。 另外提出了更准确地预测紧密油田油藏质量的新油藏质量指标。
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公开(公告)号：US20250021846A1
公开(公告)日：2025-01-16
申请号：US18352873
申请日：2023-07-14
Applicant: Schlumberger Technology Corporation
Inventor： Jeffrey Miles , Paul Ryan Craddock , Jinwoo Go
IPC: G06N7/01
Abstract: Embodiments presented provide for a method for establishing a confidence assessment for data. Data may be segregated by features importance during the confidence assessment, allowing evaluators the ability to determine the quality of data being processed by the method.
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公开(公告)号：US11519266B2
公开(公告)日：2022-12-06
申请号：US16969209
申请日：2019-02-11
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Ravinath Kausik Kadayam Viswanathan , Shin Utsuzawa , Kamilla Fellah , Shawn David Taylor , MaryEllen Loan , Paul Ryan Craddock
Abstract: Methods and systems are provided that combine NMR and IR spectroscopy measurements on a rock sample to determine data representing at least one property of the rock sample. In one embodiment, cuttings can be split into first and second lots. Results of an NMR measurement performed on the first lot of cuttings without cleaning can be analyzed to determine pore volume of the cuttings. Results of an IR spectroscopy measurement performed on the second lot of cuttings after solvent cleaning can be analyzed to determine matrix density of the cuttings. Porosity can be determined from the pore volume and matrix density of the cuttings. In another embodiment, combined NMR and IR spectroscopy measurements can be performed on an unprepared rock sample (without solvent cleaning) to characterize properties of kerogen in the rock sample and porosity. In another aspect, a method is provided that employs multi-nucleic NMR measurements to determine porosity.
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10.发明申请公开(公告)号：US20220179121A1
公开(公告)日：2022-06-09
申请号：US17438340
申请日：2020-03-09
Applicant: Schlumberger Technology Corporation
Inventor： Paul Ryan Craddock , Lalitha Venkataramanan , Prakhar Srivastava , Harish Baban Datir
Abstract: Methods and systems are provided to learn and apply a mapping function from data representing concentrations of atomic elements in a geological formation (or other data corresponding thereto) to mineral component concentrations in the geological formation (and/or from mineral component concentrations to reconstructed elemental concentrations in the geological formation). The mapping function can be derived from a trained neural network (such as an autoencoder). The output of the mapping function can be used to determine estimates of one or more formation properties, such as formation matrix density, formation porosity, matrix Sigma, formation saturation, other formation property, or combinations thereof.
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