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公开(公告)号:US20130151161A1
公开(公告)日:2013-06-13
申请号:US13757466
申请日:2013-02-01
申请人: Matthias G. Imhof , Dominique G. Gillard , Stefan Hussenoeder , Pavel Dimitrov , Martin J. Terrell , Krishnan Kumaran
发明人: Matthias G. Imhof , Dominique G. Gillard , Stefan Hussenoeder , Pavel Dimitrov , Martin J. Terrell , Krishnan Kumaran
CPC分类号: G01V1/003 , G01V1/301 , G01V2210/64 , G06F17/00
摘要: Method for analysis of hydrocarbon potential of subterranean regions by generating surfaces or geobodies and analyzing them for hydrocarbon indications. Reflection-based surfaces may be automatically created in a topologically consistent manner where individual surfaces do not overlap themselves and sets of multiple surfaces are consistent with stratigraphic superposition principles. Initial surfaces are picked from the seismic data (41), then broken into smaller parts (“patches”) that are predominantly topologically consistent (42), whereupon neighboring patches are merged in a topologically consistent way (43) to form a set of surfaces that are extensive and consistent (“skeleton”). Surfaces or geobodies thus extracted may be automatically analyzed and rated (214) based on a selected measure (213) such as AVO classification or one or more other direct hydrocarbon indicators (“DHI”). Topological consistency for one or more surfaces may be defined as no self overlap plus local and global consistency among multiple surfaces (52).
摘要翻译: 通过产生表面或地球体分析地下区域的碳氢化合物潜力并分析烃类适应性的方法。 基于反射的表面可以以拓扑一致的方式自动创建,其中各个表面不重叠,多个表面的集合与地层叠加原理一致。 从地震数据(41)拾取初始表面,然后将其分解成主要是拓扑一致的较小部分(“补丁”)(42),于是以拓扑一致的方式(43)合并相邻的补丁以形成一组表面 这是广泛和一致的(“骨架”)。 可以基于诸如AVO分类或一个或多个其他直接碳氢化合物指示器(“DHI”)的选定措施(213)自动分析和评估(214)所提取的表面或地球体。 一个或多个表面的拓扑一致性可以被定义为在多个表面之间没有自重叠加局部和全局一致性(52)。
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公开(公告)号:US20130064040A1
公开(公告)日:2013-03-14
申请号:US13695226
申请日:2011-04-22
申请人: Matthias G. Imhof , Pavel Dimitrov , Kelly Wrobel , Krishnan Kumaran , Martin J. Terrell , Stefan Hussenoeder
发明人: Matthias G. Imhof , Pavel Dimitrov , Kelly Wrobel , Krishnan Kumaran , Martin J. Terrell , Stefan Hussenoeder
IPC分类号: G01V1/30
CPC分类号: G01V1/30 , G01V1/302 , G01V1/306 , G01V1/307 , G01V1/345 , G01V2210/63 , G01V2210/64 , G01V2210/74
摘要: Method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play. Seismic attributes are computed, the attributes being selected to relate to the classical elements of a hydrocarbon system, namely reservoir, seal, trap, source, maturation, and migration. Preferably, the attributes are computed along structural fabrics (1) of the subsurface region, and are smoothed over at least tens or hundreds of data voxels. The resulting geologic attributes (2) are used to analyze the data for elements of the hydrocarbon system and/or recognition of specific plays, and for ranking and annotating partitioned regions (3) of the data volume based on size, quality, and confidence in the prospectivity prediction (5). A catalogue (8) of hydrocarbon trap configurations may be created and used to identify potential presence of hydrocarbon traps and/or aid in scoring (4) and ranking partitioned regions as hydrocarbon prospects.
摘要翻译: 用于分析表示烃系统或特定游戏的存在的地下区域的地震数据的方法。 计算地震属性,选择属性与烃系统的古典元素相关,即储层,密封,陷阱,源,成熟和迁移。 优选地,沿着地下区域的结构织物(1)计算属性,并且在至少数十或数百个数据体素上平滑。 所得到的地质属性(2)用于分析烃系统的元素和/或特定游戏的识别数据,以及基于大小,质量和置信度对数据量的分割区域(3)进行排名和注释 前景预测(5)。 可以创建碳捕集器构造目录(8)并用于识别碳氢化合物阱的潜在存在和/或帮助评分(4)并将分区区域作为碳氢化合物前景。
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公开(公告)号:US09194968B2
公开(公告)日:2015-11-24
申请号:US13695226
申请日:2011-04-22
申请人: Matthias G. Imhof , Pavel Dimitrov , Kelly Wrobel , Krishnan Kumaran , Martin J. Terrell , Stefan Hussenoeder
发明人: Matthias G. Imhof , Pavel Dimitrov , Kelly Wrobel , Krishnan Kumaran , Martin J. Terrell , Stefan Hussenoeder
IPC分类号: G01V1/30
CPC分类号: G01V1/30 , G01V1/302 , G01V1/306 , G01V1/307 , G01V1/345 , G01V2210/63 , G01V2210/64 , G01V2210/74
摘要: Method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play. Seismic attributes are computed, the attributes being selected to relate to the classical elements of a hydrocarbon system, namely reservoir, seal, trap, source, maturation, and migration. Preferably, the attributes are computed along structural fabrics (1) of the subsurface region, and are smoothed over at least tens or hundreds of data voxels. The resulting geologic attributes (2) are used to analyze the data for elements of the hydrocarbon system and/or recognition of specific plays, and for ranking and annotating partitioned regions (3) of the data volume based on size, quality, and confidence in the prospectivity prediction (5). A catalog (8) of hydrocarbon trap configurations may be created and used to identify potential presence of hydrocarbon traps and/or aid in scoring (4) and ranking partitioned regions as hydrocarbon prospects.
摘要翻译: 用于分析表示烃系统或特定游戏的存在的地下区域的地震数据的方法。 计算地震属性,选择属性与烃系统的古典元素相关,即储层,密封,陷阱,源,成熟和迁移。 优选地,沿着地下区域的结构织物(1)计算属性,并且在至少数十或数百个数据体素上平滑。 所得到的地质属性(2)用于分析烃系统的元素和/或特定游戏的识别数据,以及基于大小,质量和置信度对数据量的分割区域(3)进行排名和注释 前景预测(5)。 可以创建碳捕集器构造目录(8)并用于识别碳氢化合物阱的潜在存在和/或帮助评分(4)并将分区区域作为碳氢化合物前景。
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公开(公告)号:US09798027B2
公开(公告)日:2017-10-24
申请号:US14353743
申请日:2012-09-11
IPC分类号: G01V1/30
CPC分类号: G01V1/306 , G01V1/307 , G01V2210/632
摘要: Method for automated and quantitative assessment of multiple direct hydrocarbon indicators (“DHI's”) extracted from seismic data. DHI's are defined in a quantitative way (33), making possible a method of geophysical prospecting based on quantification of DHI anomalies. Instead of working in a particular spatial region of seismic data pre-defined as a hydrocarbon opportunity, the present invention works on entire data volumes derived from the measured seismic data (31), and identifies opportunities based on quantified DHI responses. In some embodiments, a series of algorithms utilizes the geophysical responses that cause DHI's to arise in seismic data to search entire data sets and identify hydrocarbon leads based on the presence of individual and/or combinations of DHI's (34).
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5.
公开(公告)号:US20140303896A1
公开(公告)日:2014-10-09
申请号:US14353743
申请日:2012-09-11
IPC分类号: G01V1/30
CPC分类号: G01V1/306 , G01V1/307 , G01V2210/632
摘要: Method for automated and quantitative assessment of multiple direct hydrocarbon indicators (“DHI's”) extracted from seismic data. DHI's are defined in a quantitative way (33), making possible a method of geophysical prospecting based on quantification of DHI anomalies. Instead of working in a particular spatial region of seismic data pre-defined as a hydrocarbon opportunity, the present invention works on entire data volumes derived from the measured seismic data (31), and identifies opportunities based on quantified DHI responses. In some embodiments, a series of algorithms utilizes the geophysical responses that cause DHI's to arise in seismic data to search entire data sets and identify hydrocarbon leads based on the presence of individual and/or combinations of DHI's (34).
摘要翻译: 从地震数据中提取的多个直接碳氢化合物指标(“DHI”)的自动化和定量评估方法。 DHI是以定量方式定义的(33),使得基于DHI异常量化的地球物理勘探方法成为可能。 本发明不是在预定义为碳氢化合物机会的地震数据的特定空间区域中工作,而是对从测量的地震数据(31)导出的整个数据量进行工作,并且基于量化的DHI响应来识别机会。 在一些实施例中,一系列算法利用地球物理响应,其导致DHI在地震数据中出现以搜索整个数据集并且基于DHI的个体和/或组合的存在来识别碳氢化合物引线(34)。
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6.
公开(公告)号:US11287541B2
公开(公告)日:2022-03-29
申请号:US15371759
申请日:2016-12-07
申请人: William A Burnett , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
发明人: William A Burnett , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
摘要: A method, including: determining, with a computer, point spread functions for a plurality of parameter locations by performing at least a portion of a first iteration of an iterative full wavefield inversion process; determining at least one property for each of the point spread functions; and evaluating a candidate survey design based on the at least one property for each of the point spread functions.
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7.
公开(公告)号:US20170176613A1
公开(公告)日:2017-06-22
申请号:US15371759
申请日:2016-12-07
申请人: William A. BURNETT , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
发明人: William A. BURNETT , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
IPC分类号: G01V1/28
摘要: A method, including: determining, with a computer, point spread functions for a plurality of parameter locations by performing at least a portion of a first iteration of an iterative full wavefield inversion process; determining at least one property for each of the point spread functions; and evaluating a candidate survey design based on the at least one property for each of the point spread functions.
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公开(公告)号:US20130013209A1
公开(公告)日:2013-01-10
申请号:US13521948
申请日:2011-01-31
申请人: Yaping Zhu , Shiyu Xu , Enru Liu , Michael A. Payne , Martin J. Terrell
发明人: Yaping Zhu , Shiyu Xu , Enru Liu , Michael A. Payne , Martin J. Terrell
CPC分类号: G01N33/24 , G01V1/30 , G01V2210/6242
摘要: Method for predicting physical properties of a source rock formation wherein an inclusion-based (103) mathematical rock physics model (101) is constructed that treats organic matter as solid inclusions, solid background, or both, and relates anisotropic elastic and electric properties of source rock to in-situ rock and fluid properties (102). The model is calibrated with well log data and may be used to forward model calculate effective anisotropic elastic (104.1) and electrical (104.2) properties of the source rock formation, or by inversion (441-442) of sonic and resistivity log data to calculate total organic carbon (423) in terms of a difference (421) between elastic and electrical properties of the source rock.
摘要翻译: 用于预测源岩体的物理性质的方法,其中构建了将有机物质作为固体夹杂物,固体背景或两者处理的基于夹杂物的(103)数学岩石物理模型(101),并且涉及源的各向异性弹性和电性质 岩石到原位岩石和流体特性(102)。 该模型使用测井数据进行校准,并可用于计算源岩体的有效各向异性弹性模量(104.1)和电气(104.2)的性质,或通过声波和电阻率测井数据的反演(441-442)来计算 总有机碳(423)以源岩的弹性和电性能之差(421)计。
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公开(公告)号:US20150355353A1
公开(公告)日:2015-12-10
申请号:US14763142
申请日:2013-12-31
申请人: Matthew S. CASEY , Antonio, R., Dacosta PAIVA , Martin J. TERRELL , Heather G. LUCKOW , Suyash P. AWATE , Ross T. WHITAKER , Peihong ZHU
发明人: Ross T. Whitaker , Peihong Zhu , Matthew S. Casey , Antonio R.C. Paiva , Heather G. Luckow , Martin J. Terrell , Suyash P. Awate
CPC分类号: G01V1/28 , G01V1/301 , G01V1/345 , G01V1/40 , G01V99/005 , G01V2210/64 , G01V2210/641 , G01V2210/642
摘要: Systems and methods for analyzing geophysical data to identify structures in a subsurface are provided herein. In an exemplary method, an iterative optimization is performed that includes computing similarities between potential shapes and shape cluster models, updating cluster memberships and the shape cluster models, and determining if a criterion is improved from a previous iteration.
摘要翻译: 本文提供了用于分析地球物理数据以识别地下结构的系统和方法。 在示例性方法中,执行迭代优化,其包括计算潜在形状和形状聚类模型之间的相似性,更新聚类成员资格和形状聚类模型,以及确定是否从先前迭代改进了标准。
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