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公开(公告)号:AU2021290842A1
公开(公告)日:2022-11-10
申请号:AU2021290842
申请日:2021-05-27
Applicant: IBM
Inventor: SCHMIDT TIM , KLEIN LEVENTE
Abstract: Aspects of the invention include includes detecting, using a first machine learning model, a first well pad at a first location based at least in part on a first set of data comprising spectral data describing a gas emission from the first location. Detecting an environmental event within a threshold distance of the well pad. Determining a probability of damage to the first well pad from the environmental event.
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公开(公告)号:AU2021251818A1
公开(公告)日:2022-09-15
申请号:AU2021251818
申请日:2021-03-26
Applicant: IBM
Inventor: WATSON CAMPBELL D , TEWARI MUKUL , DOW ELI MICHAEL , KLEIN LEVENTE
IPC: G06F17/18
Abstract: Road condition prediction for potentially hazardous road segments is described. For roadways that may contain accumulated frozen precipitation, a road segment for road condition prediction is selected based on weather conditions. Various models including a solar radiation budget model, a permanent structures model, a dynamic structures model, and a road condition model are generated for the selected road segment and account for shading effects on the road segment caused by objects near the road segment. A road condition prediction for hazardous conditions on the road segment is determined based on the road condition model and provided to a driver to alert the driver of any potentially hazardous conditions.
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