%0 Journal Article %1 frederick_bloetscher_2020_4478348 %A Bloetscher, Frederick %A Sham, Chi Ho %A Ratick, Sam %D 2020 %J Global Journal of Engineering and Technology Advances %K Aquifer Recovery Storage and %N 2 %P 063-070. %R 10.30574/gjeta.2020.5.2.0081 %T Factors to predict success of ASR systems %U http://gjeta.com/content/factors-predict-success-asr-systems %V 5 %X A 2019 inventory of ASR projects indicates that there are a total of 233 ASR sites in the US. Of this number, 127 had sufficient information and sufficient longevity to evaluate their success. A logistic model was run using the reduced variable set, and (1) Injection Capacity, (2) Withdrawal Capacity, and (3) Ratio of Planned Pumping In/Out had slight positive effects on the odds of success; (4) Estimated start date and (5) Well Depth did not have any effect on the odds of success. All other variables reduced the odds of ASR success (the uses for the water, limestone and carbonate formations). The area’s geological formation may be the most useful parameter to predict future ASR success, but further study is required. Data on well construction is not indicative of success because wells construction accounts for the subsurface formations. Information on water quality in the formation and confinement layers was missing for many ASR sites, but both are likely to have predictive value for ASR project success.

@article{frederick_bloetscher_2020_4478348, abstract = {A 2019 inventory of ASR projects indicates that there are a total of 233 ASR sites in the US. Of this number, 127 had sufficient information and sufficient longevity to evaluate their success. A logistic model was run using the reduced variable set, and (1) Injection Capacity, (2) Withdrawal Capacity, and (3) Ratio of Planned Pumping In/Out had slight positive effects on the odds of success; (4) Estimated start date and (5) Well Depth did not have any effect on the odds of success. All other variables reduced the odds of ASR success (the uses for the water, limestone and carbonate formations). The area’s geological formation may be the most useful parameter to predict future ASR success, but further study is required. Data on well construction is not indicative of success because wells construction accounts for the subsurface formations. Information on water quality in the formation and confinement layers was missing for many ASR sites, but both are likely to have predictive value for ASR project success.}, added-at = {2021-01-30T06:15:25.000+0100}, author = {Bloetscher, Frederick and Sham, Chi Ho and Ratick, Sam}, biburl = {https://www.bibsonomy.org/bibtex/2637bd6dc79132c330690f251bb60e443/gjetajournal}, doi = {10.30574/gjeta.2020.5.2.0081}, interhash = {69702fe6a587c244c44f66299fa7cb95}, intrahash = {637bd6dc79132c330690f251bb60e443}, issn = {2582-5003}, journal = {{Global Journal of Engineering and Technology Advances}}, keywords = {Aquifer Recovery Storage and}, month = nov, number = 2, pages = {063-070.}, timestamp = {2021-01-30T06:15:25.000+0100}, title = {Factors to predict success of ASR systems}, url = {http://gjeta.com/content/factors-predict-success-asr-systems}, volume = 5, year = 2020 }