title: Discriminating the Mineralogical Composition in Drill Cuttings Based on Absorption Spectra in the Terahertz Range.
abstract: Understanding the geological units of a reservoir is essential to the development and management of the resource. In this paper, drill cuttings from several depths from an oilfield were studied using terahertz time domain spectroscopy (THz-TDS). Cluster analysis (CA) and principal component analysis (PCA) were employed to classify and analyze the cuttings. The cuttings were clearly classified based on CA and PCA methods, and the results were in agreement with the lithology. Moreover, calcite and dolomite have stronger absorption of a THz pulse than any other minerals, based on an analysis of the PC1 scores. Quantitative analyses of minor minerals were also realized by building a series of linear and non-linear models between contents and PC2 scores. The results prove THz technology to be a promising means for determining reservoir lithology as well as other properties, which will be a significant supplementary method in oil fields.
authors.affiliation: 1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China.|2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing, China.
authors.forename: Xinyang
authors.initials: X
authors.lastname: Miao
authors.affiliation: 3 Petroleum Exploration & Production Research Institute, China Petroleum & Chemical Corporation (SINOPEC), China.
authors.forename: Hao
authors.initials: H
authors.lastname: Li
authors.affiliation: 2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing, China.
authors.forename: Rima
authors.initials: R
authors.lastname: Bao
authors.affiliation: 2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing, China.
authors.forename: Chengjing
authors.initials: C
authors.lastname: Feng
authors.affiliation: 1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China.|4 Faculty of Earth Sciences, China University of Petroleum, Beijing, China.
authors.forename: Hang
authors.initials: H
authors.lastname: Wu
authors.affiliation: 2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing, China.
authors.forename: Honglei
authors.initials: H
authors.lastname: Zhan
authors.affiliation: 2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing, China.
authors.forename: Yizhang
authors.initials: Y
authors.lastname: Li
authors.affiliation: 1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China.|2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing, China.
authors.forename: Kun
authors.initials: K
authors.lastname: Zhao
keywords: Drill cuttings; cluster analysis; principal component analysis; terahertz spectroscopy