Publications related to the GRACE Missions (no abstracts)

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A ubiquitous method for predicting underground petroleum deposits based on satellite data

Newaz, Sarfaraz, Tahmid, Md Toki, Al-Aboody, Nadia, and Islam, A. B. M. Alim Al, 2023. A ubiquitous method for predicting underground petroleum deposits based on satellite data. Scientific Reports, 13:6638, doi:10.1038/s41598-023-32054-0.

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@ARTICLE{2023NatSR..13.6638N,
       author = {{Newaz}, Sarfaraz and {Tahmid}, Md Toki and {Al-Aboody}, Nadia and {Islam}, A.~B.~M. Alim Al},
        title = "{A ubiquitous method for predicting underground petroleum deposits based on satellite data}",
      journal = {Scientific Reports},
         year = 2023,
        month = apr,
       volume = {13},
          eid = {6638},
        pages = {6638},
     abstract = "{The method of finding new petroleum deposits beneath the earth's surface
        is always challenging for having low accuracy while
        simultaneously being highly expensive. As a remedy, this paper
        presents a novel way to predict the locations of petroleum
        deposits. Here, we focus on a region of the Middle East, Iraq to
        be specific, and conduct a detailed study on predicting
        locations of petroleum deposits there based on our proposed
        method. To do so, we develop a new method of predicting the
        location of a new petroleum deposit based on publicly available
        data sensed by an open satellite named Gravity Recovery and
        Climate Experiment (GRACE). Using GRACE data, we calculate the
        gravity gradient tensor of the earth over the region of Iraq and
        its surroundings. We use this calculated data to predict the
        locations of prospective petroleum deposits over the region of
        Iraq. In the process of our study for making the predictions, we
        leverage machine learning, graph-based analysis, and our newly-
        proposed OR-nAND method altogether. Our incremental improvement
        in the proposed methodologies enables us to predict 25 out of 26
        existing petroleum deposits within the area under our study.
        Additionally, our method shows some prospective petroleum
        deposits that need to be explored physically in the future. It
        is worth mentioning that, as our study presents a generalized
        approach (demonstrated through investigating multiple datasets),
        we can apply it anywhere in the world beyond the area focused on
        in this study as an experimental case.}",
          doi = {10.1038/s41598-023-32054-0},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023NatSR..13.6638N},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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