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首页> 外文期刊>SPE Reservoir Evaluation & Engineering >Nanopore-Structure Analysis and Permeability Predictions for a Tight Gas Siltstone Reservoir by Use of Low-Pressure Adsorption and Mercury-Intrusion Techniques
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Nanopore-Structure Analysis and Permeability Predictions for a Tight Gas Siltstone Reservoir by Use of Low-Pressure Adsorption and Mercury-Intrusion Techniques

机译:低压吸附和压汞技术对致密气粉砂岩储层的纳米孔隙结构分析和渗透率预测

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摘要

The pore structure of unconventional gas reservoirs, despite having a significant impact on hydrocarbon storage and transport, has historically been difficult to characterize because of a wide pore-size distribution (PSD), with a significant pore volume (PV) in the nanopore range. A variety of methods is typically required to characterize the full pore spectrum, with each individual technique limited to a certain pore size range. In this work, we investigate the use of nondestructive, low-pressure adsorption methods, in particular low-pressure N_2 adsorption analysis, to infer pore shape and to determine PSDs of a tight gas silt-stone reservoir in western Canada. Unlike previous studies, core-plug samples, not crushed samples, are used for isotherm analysis, allowing an undisturbed pore structure (i.e., uncrushed) to be analyzed. Furthermore, the core plugs used for isotherm analysis are subsamples (end pieces) of cores for which mercury-injection capillary pressure (MICP) and permeability measurements were previously performed, allowing a more direct comparison with these techniques. PSDs, determined from two isotherm interpretation methods [Barrett-Joy-ner-Halenda (BJH) theory and density functional theory (DFT)], are in reasonable agreement with MICP data for the portion of the PSD sampled by bom. The pore geometry is interpreted as slot-shaped, as inferred from isotherm hysteresis loop shape, the agreement between adsorption- and MICP-derived dominant pore sizes, scanning-electron-microscope (SEM) imaging, and the character of measured permeability stress dependence. Although correlations between inorganic composition and total organic carbon (TOC) and between dominant pore-throat size and permeability are weak, the sample with the lowest illite clay and TOC content has the largest dominant pore-throat size and highest permeability, as estimated from MICP. The presence of stress relief-induced microfractures, however, appears to affect laboratory-derived (pressure-decay and pulse-decay) estimates of permeability for some samples, even after application of confining pressure. On the basis of the premise of slot-shaped pore geometry, fractured rock models (matchstick and cube) were used to predict absolute permeability, by use of dominant pore-throat size from MICP/adsorption analysis and porosity measured under confining pressure. The predictions are reasonable, although permeability is mostly overpredicted for samples that are unaffected by stress-release fractures. The conceptual model used to justify the application of these models is slot pores at grain boundaries or between organic matter and framework grains.
机译:非常规气藏的孔隙结构尽管对烃类的储存和运输有重大影响,但由于其宽的孔径分布(PSD)和很大的孔体积(PV)在纳米孔范围内,因此历来难以表征。通常需要多种方法来表征整个孔隙谱,而每种单独的技术都限于一定的孔径范围。在这项工作中,我们研究了使用无损低压吸附方法(尤其是低压N_2吸附分析)来推断孔隙的形状并确定加拿大西部致密气粉砂岩储层的PSD。与以前的研究不同,岩心塞样品而非压碎样品用于等温线分析,从而可以分析不受干扰的孔结构(即未压碎)。此外,用于等温线分析的岩心塞是岩心的子样本(端件),之前已经对其进行过汞注入毛细管压力(MICP)和渗透率测量,因此可以与这些技术进行更直接的比较。通过两种等温线解释方法[Barrett-Joy-ner-Halenda(BJH)理论和密度泛函理论(DFT)]确定的PSD与Bom采样的PSD部分的MICP数据合理吻合。从等温线磁滞回线形状,吸附和MICP衍生的主要孔径之间的一致性,扫描电子显微镜(SEM)成像以及测得的渗透应力相关性的特征中推断出,孔的几何形状被解释为狭缝形。尽管无机成分与总有机碳(TOC)之间的相关性以及主要的孔喉尺寸和渗透率之间的相关性较弱,但根据MICP估算,伊利石黏土和TOC含量最低的样品具有最大的主要孔喉尺寸和最高的渗透率。然而,应力释放引起的微裂缝的存在似乎会影响某些样品的实验室渗透率(压力衰减和脉冲衰减)估计值,即使在施加限制压力后也是如此。在狭缝形孔几何学的前提下,通过利用MICP /吸附分析的主要孔喉尺寸和在限制压力下测得的孔隙度,使用裂隙岩石模型(火柴和立方体)来预测绝对渗透率。这些预测是合理的,尽管对于不受应力释放裂缝影响的样品,渗透率大多被高估了。用于证明这些模型应用合理性的概念模型是晶粒边界处或有机物与骨架晶粒之间的缝隙孔。

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