-
公开(公告)号：US12129757B2
公开(公告)日：2024-10-29
申请号：US18706186
申请日：2022-11-04
发明人： Vanessa Simoes , Hiren Maniar , Tao Zhao , Aria Abubakar
CPC分类号： E21B47/138 , G01V1/48 , G06N20/00 , G01V2210/6169
摘要： A method includes receiving first training well logs, generating second training well logs by injecting one or more different types of systematic errors, random errors, or both into at least a portion of the first training well logs, training a machine learning model to correct well logs by configuring the machine learning model to reduce a dissimilarity between at least a portion of the first and second training well logs, receiving one or more implementation well logs, and generating one or more corrected well logs by correcting at least a portion of the one or more implementation well logs using the machine learning model that was trained.
-
公开(公告)号：US20240328309A1
公开(公告)日：2024-10-03
申请号：US18706186
申请日：2022-11-04
发明人： Vanessa Simoes , Hiren Maniar , Tao Zhao , Aria Abubakar
CPC分类号： E21B47/138 , G01V1/48 , G06N20/00 , G01V2210/6169
摘要： A method includes receiving first training well logs, generating second training well logs by injecting one or more different types of systematic errors, random errors, or both into at least a portion of the first training well logs, training a machine learning model to correct well logs by configuring the machine learning model to reduce a dissimilarity between at least a portion of the first and second training well logs, receiving one or more implementation well logs, and generating one or more corrected well logs by correcting at least a portion of the one or more implementation well logs using the machine learning model that was trained.
-
公开(公告)号：US12093346B2
公开(公告)日：2024-09-17
申请号：US17753499
申请日：2020-09-03
发明人： Xiaoli Chen , Hiren Maniar , Aria Abubakar
摘要： A method includes receiving well log data comprising a plurality of well logs, identifying one or more sections of one or more well logs of the plurality of well logs that have substantially complete data, training a reconstruction neural network to reconstruct incomplete well logs based on the one or more sections of the one or more well logs that have substantially complete data, and reconstructing one or more incomplete well logs of the plurality of well logs using the reconstruction neural network.
-
公开(公告)号：US20240232479A1
公开(公告)日：2024-07-11
申请号：US18408163
申请日：2024-01-09
发明人： Wenyi Hu , Son Phan , Cen Li , Aria Abubakar , Zhun Li
摘要： An integrated workflow is presented including a suite of data-driven technologies that aims to substantially reduce the cost of monitoring data acquisition, improve the robustness and efficiency of time-lapse data processing procedures to shorten the turnaround time of projects utilizing seismic data for monitoring sub-surface fluid reservoirs. In particular, plumes of subsurface CO2 may be monitored, including CO2 deliberately injected into the sub-surface as a sequestration technique. The workflow may include two parts: (1) cost-effective data acquisition schemes and (2) efficient data processing algorithms. The technology components in the workflow may include deep learning sparse monitoring data reconstruction and optimal acquisition survey design, deep learning deblending of simultaneous source monitoring data, time-lapse data repeatability enforcement through deep learning, and rapid CO2 plume body and property estimation directly from pre-migration monitoring data.
-
公开(公告)号：US20240176036A1
公开(公告)日：2024-05-30
申请号：US18551216
申请日：2022-03-17
发明人： Tao Zhao , Chunpeng Zhao , Anisha Kaul , Aria Abubakar
IPC分类号： G01V1/28 , G01V1/30 , G06N3/0464 , G06N3/08
CPC分类号： G01V1/282 , G01V1/303 , G06N3/0464 , G06N3/08 , G01V2210/51 , G01V2210/6222
摘要： A method includes receiving seismic data and an initial velocity model, generating a first seismic image based at least in part on the seismic data and the initial velocity model, training a machine learning model to predict salt masks based at least in part on seismic images, merging the initial velocity model and the first salt mask to generate a first modified velocity model, generating an updated velocity model based at least in part on the first modified velocity model, generating a second seismic image based at least in part on the updated velocity model, predicting a second salt mask based at least in part on the second seismic image and the updated velocity model, using the trained machine learning model, and merging the updated velocity model and the second salt mask to generate a second modified velocity model.
-
公开(公告)号：US20220206175A1
公开(公告)日：2022-06-30
申请号：US17595021
申请日：2020-05-11
发明人： Haibin Di , Cen Li , Aria Abubakar , Stewart Smith
摘要： A computer-implemented method includes receiving a test seismic dataset associated with a known truth interpretation, receiving one or more hard constraints, training a machine learning system based on the test seismic dataset, the known truth interpretation, and the one or more hard constraints, determining an error value based on the training the machine learning system, adjusting the error value based on one or more soft constraints, updating the training of the machine learning system based on the adjusted error value, receiving a second seismic dataset after the updating the training; applying the second seismic dataset to the machine learning system to generate an interpretation of the second seismic dataset, generating a seismic image representing a subterranean domain based on the interpretation of the second seismic dataset, and outputting the seismic image.
-
公开(公告)号：US20210270983A1
公开(公告)日：2021-09-02
申请号：US17252484
申请日：2019-06-26
发明人： Anisha Kaul , Cen Li , Hiren Maniar , Aria Abubakar
摘要： A method includes determining a top of salt (TOS) surface in a seismic volume based on a crossline direction of the seismic volume and an inline direction of the seismic volume. The method also includes determining a binary mask based upon the TOS surface. The method also includes sampling seismic data in the seismic volume to obtain a training seismic slice. The method also includes sampling the binary mask to obtain a mask slice. The method also includes selecting a first coordinate in the training seismic slice to produce a first tile. The method also includes selecting a second coordinate in the mask slice to produce a second tile. The method also includes generating or updating a model of the seismic volume based upon the first tile and the second tile.
-
8.发明申请公开(公告)号：US20160230511A1
公开(公告)日：2016-08-11
申请号：US14975620
申请日：2015-12-18
发明人： Gong Li Wang , Keli Sun , Aria Abubakar , Thomas D. Barber
IPC分类号： E21B41/00 , E21B49/00 , E21B47/12 , G06F17/16 , E21B49/08 , G01V99/00 , G01V3/10 , E21B43/26 , E21B25/00
CPC分类号： G06F17/16 , E21B43/26 , G01V3/28 , G01V3/38 , G01V99/005
摘要： A system and method of performing a fracture operation at a wellsite about a subterranean formation is disclosed. The method involves, obtaining wellsite measurements by placing a downhole tool in a wellbore and using the downhole tool to acquire measurements of the subterranean formation, simulating the obtained wellsite measurements to determine formation parameters comprising conductivity tensors based on a formation model of the measured subterranean formation, validating the formation model by comparing the obtained wellsite measurements with the simulated wellsite measurements, generating fracture parameters and triaxiality indicators based on the validated formation model, and fracturing the subterranean formation based on the generated fracture parameters and triaxiality indicators.
摘要翻译： 公开了一种在围绕地层的井场进行断裂操作的系统和方法。 该方法涉及通过将井下工具放置在井眼中并使用井下工具来获取地下地层的测量值来模拟所获得的井场测量值，以基于所测量的地下地层的地层模型来确定包括导电张量的地层参数 通过将获得的井场测量与模拟井场测量值进行比较，基于验证的地层模型生成断裂参数和三轴度指标，并根据产生的断裂参数和三轴度指标对地下岩层进行压裂，验证地层模型。
-
公开(公告)号：US12072459B2
公开(公告)日：2024-08-27
申请号：US17758514
申请日：2021-01-11
发明人： Haibin Di , Xiaoli Chen , Hiren Maniar , Aria Abubakar
摘要： A method for seismic processing includes extracting, using a first machine learning model, one or more seismic features from seismic data representing a subsurface domain, receiving one or more well logs representing one or more subsurface properties in the subsurface domain, and predicting, using a second machine learning model, the one or more subsurface properties in the subsurface domain at a location that does not correspond to an existing well based on the seismic data, the one or more well logs, and the one or more seismic features that were extracted from the seismic data.
-
公开(公告)号：US20240248230A1
公开(公告)日：2024-07-25
申请号：US18564283
申请日：2022-05-26
发明人： Haibin Di , Aria Abubakar
CPC分类号： G01V1/50 , G06N20/00 , G01V2210/74
摘要： A method includes obtaining a synthetic seismogram representing a seismic well tie, a shifted synthetic seismogram representing the seismic well tie, and a shift input including domain shift data for converting well log data from a depth domain to a time domain, generating a shift label based on the synthetic seismogram and the shifted synthetic seismogram using a machine learning model, determining that an accuracy of the shift label is less than a threshold based on a comparison of the shift input and the shift label, adjusting the machine learning model in response to determining that the accuracy of the shift label is less than the threshold, predicting a second shift for a second seismic well tie from a second seismogram using the machine learning model, and generating a seismic image based on the second seismic well tie, the second seismogram, and the second shift.
-
-
-
-
-
-
-
-
-
搜索结果
40 条记录 (耗时 0.028 秒)
