Mihrin Dmytro, Li Ming, Sánchez M Alejandra, Hoeck Casper, Larsen René Wugt, Feilberg Karen Louise
Department of Chemistry, Technical University of Denmark, Kemitorvet 206, 2800 Kgs. Lyngby, Denmark.
Danish Hydrocarbon Research and Technology Centre, Technical University of Denmark, Elektrovej 375, 2800 Kgs. Lyngby, Denmark.
ACS Omega. 2020 Nov 30;5(49):31753-31764. doi: 10.1021/acsomega.0c04431. eCollection 2020 Dec 15.
The detailed chemical composition of crude oil in subsurface reservoirs provides important information about reservoir connectivity and can potentially play a very important role for the understanding of recovery processes. Relying on studying produced oil samples alone to understand the rock-fluid and fluid-fluid interactions is insufficient as the heavier polar components may be retained by tight reservoirs and not produced. These heavy and polar compounds that constitute the resin and asphaltene fractions of crude oil are typically present in low concentrations and yet are determining for the physical-chemical properties of the oil because of their polarity. In order to obtain a fingerprint analysis of oils including polar compounds from different wells, the oil content of drill cores has been extracted and analyzed. Infrared spectroscopy has been used to perform chemical fingerprinting of the oil extracted from drill cores sampled in different geographical locations of the Danish North Sea. Statistical analysis has been employed to identify the chemical differences within the sample set and explore the link between chemical composition and geographic location of the sample. A principal component analysis, based on spectral peak fitting in the 1800-1400 cm range, has allowed for statistical grouping of the samples and identified the primary chemical feature characteristic of these groups. Statistically significant differences in the quantities of polar oxygen- and nitrogen-containing compounds were found between the oil wells. The results of this analysis have been used as guidelines and reference to establish an express statistical approach based on the full-range infrared spectra for a further expansion of the sample set. The chemical information presented in this work is discussed in relation to oil fingerprinting and geochemical analysis.
地下油藏中原油的详细化学成分提供了有关油藏连通性的重要信息,并且对于理解采收过程可能起着非常重要的作用。仅依靠研究采出的油样来了解岩石-流体和流体-流体之间的相互作用是不够的,因为较重的极性组分可能会被致密油藏滞留而无法采出。这些构成原油树脂和沥青质馏分的重质和极性化合物通常浓度较低,但由于其极性,却决定着原油的物理化学性质。为了对来自不同油井的包括极性化合物在内的原油进行指纹分析,已对岩芯的含油量进行了提取和分析。红外光谱已被用于对从丹麦北海不同地理位置采集的岩芯中提取的原油进行化学指纹识别。已采用统计分析来识别样本集中的化学差异,并探索化学成分与样本地理位置之间的联系。基于1800 - 1400厘米范围内的光谱峰拟合进行的主成分分析,已实现对样本的统计分组,并确定了这些组的主要化学特征。在油井之间发现了极性含氧化合物和含氮化合物数量上具有统计学意义的差异。该分析结果已被用作指导方针和参考,以建立一种基于全范围红外光谱的快速统计方法,用于进一步扩大样本集。本文所呈现的化学信息将结合原油指纹识别和地球化学分析进行讨论。