The applications of data science to petrology and geochemistry

dc.contributor.advisorLee, Cin-Tyen_US
dc.creatorZhang, Julinen_US
dc.date.accessioned2020-12-04T20:28:18Zen_US
dc.date.available2021-06-01T05:01:13Zen_US
dc.date.created2020-12en_US
dc.date.issued2020-12-04en_US
dc.date.submittedDecember 2020en_US
dc.date.updated2020-12-04T20:28:19Zen_US
dc.description.abstractData science has been widely applied to a lot of disciplines in recent years. However, few relevant works have been done in the field of geology. Therefore, this thesis aims to discuss the application and potential of data science in petrology and geochemistry. The most common data in petrology and geochemistry are rock images and geochemical compositions of rocks. The color and texture of igneous rocks are closely related to their diagenetic process while geochemical compositions can be used to decipher the source of rocks and the physical and chemical processes they undergo before they solidify. The development of large geochemical databases such as EarthChem and GeoRoc provides the geochemists with convenience for accessing the big data and studying the origin and evolution of Earth. However, the lack of a large rock image database hinders the potential of using data science to better understand the formation of rocks. Therefore, in this thesis, I propose an image processing workflow that allows geologists to easily acquire and report standardized rock images with smartphones, contributing to the buildup of the rock image database. I also use image analysis methods to discuss the origin of orbicular granitoids from Mount Magnet, western Australia. Moreover, I use machine learning tools to explore the relationship between heat-producing elements and major elements of the igneous rocks, providing the implication on the thermal state of the lower crust during the Archean.en_US
dc.embargo.terms2021-06-01en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationZhang, Julin. "The applications of data science to petrology and geochemistry." (2020) Diss., Rice University. <a href="https://hdl.handle.net/1911/109616">https://hdl.handle.net/1911/109616</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/109616en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectPetrologyen_US
dc.subjectGeochemistryen_US
dc.subjectData scienceen_US
dc.titleThe applications of data science to petrology and geochemistryen_US
dc.typeThesisen_US
dc.type.dcmiDataseten_US
dc.type.materialTexten_US
thesis.degree.departmentEarth Scienceen_US
thesis.degree.disciplineNatural Sciencesen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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