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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:US11914089B2
公开(公告)日:2024-02-27
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
CPC classification number: G01V1/303 , G01V1/345 , G06N3/04 , G01V2210/6222
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:US20190113639A1
公开(公告)日:2019-04-18
申请号:US16086596
申请日:2017-03-21
Applicant: Schlumberger Technology Corporation
Inventor: Bassem Khadhraoui , Saad Kisra
Abstract: A method for estimating sonic slowness comprising: obtaining (700) a plurality of sonic waveforms are received by a plurality of receivers of a logging tool after emission of a source sonic wave by a transmitter, obtaining (710) slowness models of the subterranean formation, a slowness model being defined by a at least one cell of constant slowness for at least one wave energy mode, computing (720), for each slowness model, a set of candidate travel times, a candidate travel time of a set of candidate travel times being computed for a wave energy mode and a position of a receiver of the plurality of receivers, computing (730) a relevance indicator for each set of candidate travel times based on the recorded sonic waveforms; searching (740) a match between the sets of candidate travel times and the recorded sonic waveforms by searching a relevance indicator which is optimum, computing (750) a sonic slowness estimate for the subterranean formation from a set of candidate travel times for which the relevance indicator is optimum.
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公开(公告)号:US20130322209A1
公开(公告)日:2013-12-05
申请号:US13960777
申请日:2013-08-06
Applicant: Schlumberger Technology Corporation
Inventor: Bassem Khadhraoui , David Leslie , Gwenola Michaud , Walter Scott Leaney
IPC: G01V1/28
CPC classification number: G01V1/288 , G01V1/303 , G01V1/40 , G01V2210/123
Abstract: Methods and systems for the detection and localization of microseismic events are proposed which operate in real-time. Hypocenters in three spatial dimensions are provided along with an estimate of the event origin time. Sensor positions may be distributed in 3D space, and are not confined to linear arrays in vertical wells. A location of the event is approximated and a grid search, based on the approximate location of the event, is used to derive a residual function over a finer sampling followed by a gradient search of the residual function to optimize the location of the event.
Abstract translation: 提出了实时监测和定位微震事件的方法和系统。 提供三个空间维度的异常者以及事件起始时间的估计。 传感器位置可以分布在3D空间中,并不限于垂直井中的线性阵列。 事件的位置被近似,并且基于事件的大致位置的网格搜索被用于通过更精细的采样导出残差函数,随后是剩余函数的梯度搜索以优化事件的位置。
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公开(公告)号:US11112513B2
公开(公告)日:2021-09-07
申请号:US16086596
申请日:2017-03-21
Applicant: Schlumberger Technology Corporation
Inventor: Bassem Khadhraoui , Saad Kisra
Abstract: A method for estimating sonic slowness comprising: obtaining (700) a plurality of sonic waveforms are received by a plurality of receivers of a logging tool after emission of a source sonic wave by a transmitter, obtaining (710) slowness models of the subterranean formation, a slowness model being defined by a at least one cell of constant slowness for at least one wave energy mode, computing (720), for each slowness model, a set of candidate travel times, a candidate travel time of a set of candidate travel times being computed for a wave energy mode and a position of a receiver of the plurality of receivers, computing (730) a relevance indicator for each set of candidate travel times based on the recorded sonic waveforms; searching (740) a match between the sets of candidate travel times and the recorded sonic waveforms by searching a relevance indicator which is optimum, computing (750) a sonic slowness estimate for the subterranean formation from a set of candidate travel times for which the relevance indicator is optimum.
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