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公开(公告)号：US11099289B2
公开(公告)日：2021-08-24
申请号：US16331635
申请日：2016-10-04
Applicant: Landmark Graphics Corporation
Inventor： Ashwani Dev , Sridharan Vallabhaneni , Raquel Morag Velasco , Jeffrey Marc Yarus
Abstract: A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.
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2.发明申请公开(公告)号：US20190235106A1
公开(公告)日：2019-08-01
申请号：US16331635
申请日：2016-10-04
Applicant: Landmark Graphics Corporation
Inventor： Ashwani Dev , Sridharan Vallabhaneni , Raquel Morag Velasco , Jeffrey Marc Yarus
CPC classification number: G01V1/282 , G01V1/288 , G01V1/301 , G01V1/307 , G01V1/308 , G01V1/42 , G01V1/50 , G01V11/00 , G01V2210/121 , G01V2210/1234 , G01V2210/6122 , G01V2210/6163 , G01V2210/6165 , G01V2210/6167 , G01V2210/6169 , G01V2210/63 , G01V2210/646 , G06Q10/06 , G06Q50/02
Abstract: A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.
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公开(公告)号：US20190219716A1
公开(公告)日：2019-07-18
申请号：US16332324
申请日：2016-10-20
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Thomas Bartholomew O'Toole , Raquel Morag Velasco
CPC classification number: G01V1/288 , G01V1/42 , G01V1/50 , G01V2210/1234 , G01V2210/1429 , G01V2210/6122 , G01V2210/646 , G01V2210/74 , G06K9/6269 , G06N20/10 , G06Q50/02
Abstract: A computing device can use a support vector machine to categorize well data as being associated with a noise event or a microseismic event. For example, the computing device can determine well data based on sensor signals from a sensor in a wellbore. The computing device can then use the support vector machine to categorize the well data as being associated with a noise event or a microseismic event.
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公开(公告)号：US20180306939A1
公开(公告)日：2018-10-25
申请号：US15560001
申请日：2016-10-20
Applicant: Landmark Graphics Corporation
CPC classification number: G01V1/364 , G01V1/288 , G01V1/308 , G01V1/345 , G01V1/42 , G01V2210/1234 , G01V2210/1299 , G01V2210/1429 , G01V2210/163 , G01V2210/6122 , G01V2210/646 , G06F17/50 , G06Q50/02
Abstract: Microseismic-event data can be corrected (e.g., to reduce or eliminate bias). For example, a first distribution of microseismic events that occurred in a first area of a subterranean formation can be determined. The first distribution can be used as a reference distribution. A second distribution of microseismic events that occurred in a second area of the subterranean formation can also be determined. The second area of the subterranean formation can be farther from an observation well than the first area. The second distribution can be corrected by including, in the second distribution, microseismic events that have characteristics tailored for reducing a difference between the second distribution and the first distribution.
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