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1.
公开(公告)号:US20190324166A1
公开(公告)日:2019-10-24
申请号:US16447560
申请日:2019-06-20
申请人: Sri Venkata Tapovan LOLLA , Jeffrey R. Bailey , Simona O. Costin , Michael S. Hons , Helen Yam , Arslan Akhmetov , Tim W. Hayward , Richard J. Smith , Colum M. Keith , Marc-Andre P. Chen , Xinlong Liu
发明人: Sri Venkata Tapovan LOLLA , Jeffrey R. Bailey , Simona O. Costin , Michael S. Hons , Helen Yam , Arslan Akhmetov , Tim W. Hayward , Richard J. Smith , Colum M. Keith , Marc-Andre P. Chen , Xinlong Liu
摘要: Methods and systems for monitoring operation integrity during hydrocarbon production or fluid injection operations by receiving microseismic data; processing the data to obtain data panels corresponding to microseismic data measured over a time interval; determining, with a neural network analysis, whether any of the data panels includes a noise event or a non-noise event; calculating, for each data panel including a non-noise event, trigger values for data traces corresponding to sensor receivers of the microseismic monitoring system; selecting, as a triggered data panel, at least one data panel that satisfies triggering criteria; selecting, as a non-trivial data panel, at least one triggered data panel that satisfies spectral density criteria; calculating a value for each of at least two event attributes of the event; determining an event score based on the event attribute values; and classifying the event into at least one event category based on the event score.
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公开(公告)号:US20190302291A1
公开(公告)日:2019-10-03
申请号:US16271203
申请日:2019-02-08
申请人: Sri Venkata Tapovan Lolla , Jeffrey R. Bailey , Simona O. Costin , Michael S. Hons , Helen Yam , Arslan Akhmetov , Tim W. Hayward , Richard j. Smith , Colum M. Keith , Marc-Andre P. Chen
发明人: Sri Venkata Tapovan Lolla , Jeffrey R. Bailey , Simona O. Costin , Michael S. Hons , Helen Yam , Arslan Akhmetov , Tim W. Hayward , Richard j. Smith , Colum M. Keith , Marc-Andre P. Chen
摘要: Methods and systems for monitoring operation integrity during hydrocarbon production or fluid injection operations by receiving microseismic data; processing the microseismic data to obtain a plurality of data panels corresponding to microseismic data measured over a predetermined time interval; calculating, for each data panel, trigger values for data traces corresponding to sensor receivers of the microseismic monitoring system; selecting, as a triggered data panel, at least one data panel that satisfies predetermined triggering criteria; selecting, as a non-trivial data panel, at least one triggered data panel that satisfies spectral density criteria; calculating a value for each of at least two event attributes of a plurality of event attributes of the event; determining an event score based on the values of the plurality of event attributes; and classifying the event into at least one event category of a plurality of event categories based on the event score.
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