-
公开(公告)号:US10287874B2
公开(公告)日:2019-05-14
申请号:US15453650
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge Jin , Charles C. Mosher , Frank P. Filice , Kyle R. Krueger , Ali Tura , Baishali Roy , Dana M. Jurick
Abstract: A method of monitoring hydraulic fracturing using DAS sensors in a treatment well and/or observation well is described. The raw data is transformed using a low pass filter (≤0.05 Hz) and down-sampled to show the signal as the stimulation progresses. The resulting data can be used to optimize the hydraulic fracturing or improve reservoir models for other reservoirs.
-
公开(公告)号:US10458228B2
公开(公告)日:2019-10-29
申请号:US15453434
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge Jin , Charles C. Mosher , Frank P. Filice , Kyle R. Krueger , Baishali Roy , Ali Tura , Dana M. Jurick
Abstract: The invention relates to DAS observation has been proven to be useful for monitoring hydraulic fracturing operations. While published literature has shown focus on the high-frequency components (>1 Hz) of the data, this invention discloses that much of the usable information may reside in the very low frequency band (0-50 milliHz). Due to the large volume of a DAS dataset, an efficient workflow has been developed to process the data by utilizing the parallel computing and the data storage. The processing approach enhances the signal while decreases the data size by 10000 times, thereby enabling easier consumption by other multi-disciplinary groups for further analysis and interpretation. The polarity changes as seen from the high signal to noise ratio (SNR) low frequency DAS images are currently being utilized for interpretation of completions efficiency monitoring in hydraulically stimulated wells.
-