从分子到桶:通过气相色谱仪指纹图谱重新定义碳氢化合物光谱和DNA追踪的案例研究

S. Zulkipli, Norhana Harun
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摘要

地球化学在油气行业中发挥着关键作用,通常,它以提供最经济的方法来确定任何分析工作的基础真相而闻名,以追踪碳氢化合物的存在。常规的油气流体类型和流动潜力测定方法,如电缆地层测试、光学流体分析仪、井测试、井下和地面流体样品等,如果油气存在的描述被钻井液的高污染或不具代表性的样品所掩盖,可能是一种优势,也可能是一种麻烦。通常,每当发生任何突然的重大生产问题时,都会出现许多因素,这些因素可能会影响真正的根本原因识别。因此,地球化学方法提供了一种独特的方法来追踪碳氢化合物的存在和可能的来源。本文的研究范围包括气相色谱仪(GC)指纹识别的方法和原理、应用案例研究和商业价值创造。与传统的分析工作相比,在实验室中检测每种碳氢化合物流体样本的DNA和组成是一项有趣的过程,所需时间更短。只需将几滴烃类流体、合成基泥浆和基础油样品输入到GC光谱仪中,每种流体的独特色谱特征将相互叠加,用于比较和定量污染水平。本文中介绍的案例研究将突出活烃特征的关键特征,而不是作为异常值或污染物的死油或钻井液特征。在证明油气发现、根据涉及利益相关者利益的指纹结果改进试井决策、确定潜在的井屏障泄漏、优化油井增产设计以及可能的油气运移到井筒中的来源等方面所创造的价值也将得到强调。简而言之,应用气相色谱指纹识别技术来确定油气流体类型是一种成功的、经济有效的、技术可行的方法。识别每种流体的DNA和独特特征将为短期和长期商业投资策略带来额外优势。
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From Molecules to Barrels: A Case Study on Redefining Hydrocarbon Spectrum and DNA Tracing Through Gas-Chromatograph Fingerprinting
Geochemistry plays a key role in oil and gas business and often, it has the reputation of providing the most economical way to establish the ground truth for any analytical work done to trace hydrocarbon presence. Conventional ways in determining hydrocarbon fluid type and flow potential such as wireline formation tester, optical fluid analyzer, well testing, downhole and surface fluid samples could be an advantage or a headache if delineation of hydrocarbon presence is masked by high contamination from drilling fluid or non-representative samples. Often whenever any sudden major production hiccups occur, many factors come in which may cloud the real root cause identification. Hence, geochemistry method offers a unique solution in tracing the hydrocarbon presence and also the possible sources where it originates from. Methodology and principles of gas-chromatograph (GC) fingerprinting, case studies for application and value creation to the business are the scopes of this paper. Examining the DNA and composition unique to each hydrocarbon fluid sample in the lab can be an intriguing process which requires shorter time compared to conventional analytical work. Requiring only few drops of hydrocarbon fluid, synthetic-based mud and base oil samples as input into the GC spectrometer machine, the unique chromatogram signature from each fluid will be overlaid onto each other for comparison and quantification of contamination level. The case studies presented in this paper will highlight the key characteristics of live hydrocarbon signature as compared to the dead oil or drilling fluid signature which acts as the outlier or contaminant to the samples. Values created in terms of proving the hydrocarbon discovery, refining well testing decision based on the fingerprinting results which involves stakeholder's interest, determination of potential well barrier leaks, optimizing well stimulation design and possible sources of hydrocarbon migration into the wellbore will also be highlighted. In a nutshell, application of GC fingerprinting to ascertain hydrocarbon fluid type is successfully proven, cost effective and technically viable approach. Recognizing the DNA and unique signature of each fluid will be an added advantage for short term and long term business investment strategies.
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