Pore structure evaluation in ultra-deep tight sandstones using NMR measurements and fractal analysis
Introduction
Tight sandstones contain abundant oil and gas reserves, however, they have low porosity (<10%) and low permeability (intrinsic permeability<0.1mD) (Desbois et al., 2011; Gao and Li, 2015; Zou et al., 2012; Lai et al., 2018a). In addition, the tortuous systems containing intergranular, intragranular pores and micropores are the main features of tight sandstones. The pore throats have a wide range from nano-scale (<1 mm) to micro-scale (Rezaee et al., 2012; Desbois et al., 2011; Anovitz and Cole, 2015; Lai et al., 2018a; Liu and Ostadhassan, 2019; Wu et al., 2020). Pore structure, which includes geometry, size, connectivity and distribution of pore throat (Fu et al., 2015), determines the hydrocarbon migration and accumulation, and it plays a dominant control in reservoir quality evaluation (Anovitz et al., 2015; Xi et al., 2016; Lai et al., 2019; Gao et al., 2020; Yuan et al., 2021). The wide variations in reservoir quality of tight rocks are mainly attributed to the heterogeneous pore networks (Anovitz et al., 2015). Therefore the characterizations of pore structure in tight sandstones are important for enhancing hydrocarbon recovery (Schmitt et al., 2015; Lai et al., 2018a).
The Kuqa Depression is rich in natural gas resources (Liu et al., 2020). Many giant gas fields have been found in the Kuqa Depression recently, including the Kela 2, Awa, Bozi, Dabei, Keshen gas fields (Jin et al., 2008). However, the Kuqa depression is a reactivated foreland basin, and had undergone complex tectonic evolution histories (Liu et al., 2020; Zheng et al., 2020). Additionally, the main gas bearing formation is ultra-deeply buried (>6000 m), leading to a complex assemblage of pores spaces and tortuous pore throat structure. Therefore the application of various complementary methods and fractal theory in pore throat structure characterization are of great importance.
Laboratory NMR measurements, which commonly measure T2 transversal relaxation time distribution, provide continuous pore size distributions (Dillinger and Esteban, 2014; Daigle et al., 2014; Sigal, 2015; Wang et al., 2018; Yuan et al., 2018; Zhang and Zhang, 2021). Besides NMR porosity, FFI (free fluid index), BVI (bulk volume of irreducible water), T2cutoff (T2 value separating FFI and BVI), and T2gm can be derived from NMR measurements (Pape and Clauser, 2009; Meng et al., 2016; Wang et al., 2018, 2020). Therefore, a large number of parameters are provided directly or indirectly by NMR tests, including permeability, porosity, and fluid saturation. These parameters are important in reservoir characterization (Müller-Huber et al., 2016). In addition, NMR gives the insights into the fluid states and types (movable/producible fluids, bound fluids) (Müller-Huber et al., 2016; Wang et al., 2018; Fan et al., 2019; Zhang et al., 2020). Nondestructive and quantitative are two advantages of NMR measurements, and consequently NMR analysis is one of the most commonly used methods for pore structure evaluation (Golsanami et al., 2016; Li et al., 2017; Wang et al., 2018; Wu et al., 2020).
Fractals are virtual, self-similar geometrical objects (Cai et al., 2010; Lai and Wang, 2015; Kulesza and Bramowicz, 2014). Fractal property is one of the characteristics of sandstone pore throat systems, which appears independent of scales (Lai et al., 2016; Yuan and Rezaee, 2019). Fractal theory helps build up the bridges between microscopic morphology and macroscopic performances (Kleinberg et al., 1994; Cai et al., 2010; Wang et al., 2012, 2018; Daigle and Johnson, 2016; Zhang et al., 2018). It is widely used for quantitatively characterizing heterogeneity of pore throat structure (Li and Horne, 2006; Li, 2010a, b; Wang et al., 2018; Yuan and Rezaee, 2019; Lai et al., 2019; Zhang et al., 2020). Lai et al. (2018b) firstly proposed a new model from NMR T2 spectrum, which can be used to derive the fractal dimensions. This model is widely used to quantitatively characterize the pore size and distribution. (Zhang et al., 2020; Zhang and Hu, 2020; Lu and Liu, 2021).
In this study, the pore structure of Bashijiqike ultra-deep tight sandstones is described by means of petrophysical measurements and fractal theory. The NMR T2 spectrum, NMR parameters as well as fractal dimension are used for pore structure evaluation. The study characterizes the connection between microscopic pore structure and fractal dimensions, and unravels the link between microscopic pore structure and macroscopic behaviors. In addition, the characteristics of various pore structures are summarized. The work is helpful for improving the scientific understanding of pore structure distribution and has practical implications for pore structure evaluation of ultra-deep tight sandstones, and is hoped to provide reference for pore structure evaluation and fractal analysis of sandstones worldwide.
Section snippets
Geological setting
The Kuqa depression is situated in the transition zone between Tarim Basin and southern Tianshan (Fig. 1) (Shi et al., 2004; Zou et al., 2006; Zeng et al., 2010; Feng et al., 2018; Zheng et al., 2020; Lai et al., 2021). The Kuqa depression is a foreland depression, which is formed during the Mesozoic to Cenozoic time (Shi et al., 2004; Zhang and Huang, 2005; Zeng et al., 2010; Nian et al., 2016). Due to the complex evolutionary history (Nian et al., 2016; Ju and Wang, 2018; Neng et al., 2018),
Methodology
In the model of calculating fractal dimensions using NMR measurement fist proposed by Lai et al. (2018b), it is based on the assumption that the pore systems are spherical. Thus, the equation containing the pores numbers (Ni) and size of pores ri (T2i value) can be written in (Eq. (1)) (Sigal, 2015; Zhang et al., 2020).
Vpi (%) is the incremental pore volume amplitudes at specific T2 (T2i, ms), ri is the pore size, and ρ is surface relaxivity (μm/ms).
Then N(>ri), which
Pore spaces, porosity and permeability
According to core analysis, the minimum porosity is 1.26% and the maximum porosity is 14.69%, and the average porosity is 7.30%, while 0.017 to 133.0 mD is the wide range of permeability, with an average of 2.042 mD (Fig. 2). Most of the data points in the permeability versus porosity crossplot fall in the area with air permeability less than 1 mD and porosity less than 10% (Fig. 2). Therefore the Bashijiqike Formation in the Bozi wellblock of Kuqa depression is ultra-deeply buried tight
Discussion
In this section, the internal relationships between pore structure, reservoir quality and fractal dimension are unraveled using NMR tests and fractal analysis for the ultra-deeply buried (>6000 m) in Kuqa depression.
The permeability is commonly related to total porosity, indicating that the pore spaces of the samples using in this study are dominantly pores, but not fractures (Fig. 2). The NMR T2 distribution also confirm this due to the rareness in tail distribution and long T2 components
Conclusions
The porosity of Bashijqike sandstones in Bozi Wellblock of Kuqa depression is between 1.26% and 14.69%, and the average value is 7.30%, while permeability is from 0.017 to 133.0 mD, and the average value is 2.042 mD. The pore system includes residual intergranular pores, grain intragranular dissolution pores, micropores, fractures or microfractures. The NMR T2 spectra have two types: bi-modal and uni-modal distribution. The uni-modal T2 spectrum behaviors indicate that pore spaces are mainly
Author contribution statement
Yi Xin: Conceptualization, Methodology, Software, Writing- Reviewing and Editing; Guiwen Wang: Conceptualization, Methodology, Software, Software, Validation, Writing- Reviewing and Editing; Bingchang Liu: Data curation, Writing – original draft preparation; Yong Ai: Data curation, Writing – original draft preparation; Hongkun Liu: Data curation, Writing – original draft preparation; Deyang Cai: Data curation, Writing – original draft preparation; Shuwen Yang: Software, Validation; Yuqiang Xie:
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This work is supported by National Science & Technology Major Project of China (No. 2017ZX05008-004-001). We thank the three anonymous reviewers for their constructive comments, which improve the paper significantly. The authors thank the handling editors of JPSE for their kind work on this paper. We also thank Rouhi Farajzadeh, the Executive Editor for his enthusiasm, patience, and tireless efforts.
References (69)
- et al.
Effect of quartz overgrowth precipitation on the multiscale porosity of sandstone: a (U)SANS and imaging analysis
Geochem. Cosmochim. Acta
(2015) - et al.
Fractal analysis of invasion depth of extraneous fluids in porous media
Chem. Eng. Sci.
(2010) - et al.
High-resolution 3D fabric and porosity model in a tight gas sandstone reservoir: a new approach to investigate microstructures from mm-to nm-scale combing argon beam cross sectioning and SEM imaging
J. Petrol. Sci. Eng.
(2011) - et al.
Experimental evaluation of reservoir quality in Mesozoic formations of the Perth Basin (Western Australia) by using a laboratory low field Nuclear Magnetic Resonance
Mar. Petrol. Geol.
(2014) - et al.
Pore structure evaluation of tight reservoirs in the mixed siliciclastic-carbonate sediments using fractal analysis of NMR experiments and logs
Mar. Petrol. Geol.
(2019) - et al.
Quantitative prediction of fracture distribution using geomechanical method within Kuqa Depression, Tarim Basin, NW China
J. Petrol. Sci. Eng.
(2018) - et al.
Investigation of the factors that control the development of pore structure in lacustrine shale: a case study of block X in the Ordos basin, China
J. Nat. Gas Sci. Eng.
(2015) - et al.
Fractal pore structure of sedimentary rocks: simulation in 2-d using a relaxed bidisperse ballistic deposition model
J. Appl. Geophys.
(2012) - et al.
A review on the applications of the nuclear magnetic resonance (NMR) technology for investigating fractures
J. Appl. Geophys.
(2016) - et al.
The tectonics and petroleum system of the Qiulitagh fold and thrust belt, northern Tarim basin, NW China
Mar. Petrol. Geol.
(2008)
A preliminary study of the present-day in-situ stress state in the Ahe tight gas reservoir, Dibei Gasfield, Kuqa Depression
Mar. Petrol. Geol.
Mechanism of NMR relaxation of fluids in rock
J. Magn. Reson., Ser. A
A comparative study of correlation methods for determination offractal parameters in surface characterization
Appl. Surf. Sci.
Fractal analysis of tight gas sandstones using High-Pressure Mercury Intrusion techniques
J. Nat. Gas Sci. Eng.
A review on pore structure characterization in tight sandstones
Earth Sci. Rev.
Spectrum of pore types and networks in the deep cambrian to lower ordovician dolostones in Tarim basin, China
Mar. Petrol. Geol.
Fractal modeling of capillary pressure curves for the Geysers rocks
Geothermics
Analytical derivation of Brooks–Corey type capillary pressure models using fractal geometry and evaluation of rock heterogeneity
J. Petrol. Sci. Eng.
More general capillary pressure and relative permeability models from fractal geometry
J. Contam. Hydrol.
Pore throat structure and fractal characteristics of tight oil sandstone: a case study in the Ordos basin, China
J. Petrol. Sci. Eng.
Insights in the pore structure, fluid mobility and oiliness in oil shales of Paleogene Funing Formation in Subei Basin, China
Mar. Petrol. Geol.
Fractal behaviors of NMR saturated and centrifugal T2 spectra in oil shale reservoirs: the Paleogene Funing formation in Subei basin, China
Mar. Petrol. Geol.
Research on the auto-removal mechanism of shale aqueous phase trapping using low field nuclear magnetic resonance technique
J. Petrol. Sci. Eng.
Pore space characterization in carbonate rocks—approach to combinenuclear magnetic resonance and elastic wave velocity measurements
J. Appl. Geophys.
Effect of basement structure and salt tectonics on deformation styles along strike: an example from the Kuqa fold–thrust belt, West China
Tectonophysics
The in situ stress determination from borehole image logs in the Kuqa Depression
J. Nat. Gas Sci. Eng.
Characterization of braided river-delta facies in the Tarim Basin Lower Cretaceous: application of borehole image logs with comparative outcrops and cores
Mar. Petrol. Geol.
Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data
J. Petrol. Sci. Eng.
Fractal dimensions of shale
J. Nat. Gas Sci. Eng.
Characterization of Brazilian tight gas sandstones relating permeability and angstrom-to micron-scale pore structures
J. Nat. Gas Sci. Eng.
Effective evaluation of gas migration in deep and ultra-deep tight sandstone reservoirs of Keshen structural belt, Kuqa depression
J. Nat. Gas Sci. Eng.
The use of artificial neural network analysis and multiple regression for trap quality evaluation: a case study of the Northern Kuqa Depression of Tarim Basin in western China
Mar. Petrol. Geol.
Fracture zones constrained by neutral surfaces in a fault-related fold: insights from the Kelasu tectonic zone, Kuqa depression
J. Struct. Geol.
Diagenetic controlled reservoir quality of South Pars gas field, an integrated approach
Compt. Rendus Geosci.
Cited by (23)
Study on the effect of wood admixture on the physical and mechanical properties of corn cob ecological recycled concrete
2024, Journal of Building EngineeringA novel method for wireless telemetry during air drilling based on air pressure pulses
2024, Geoenergy Science and EngineeringFault-karst systems in the deep Ordovician carbonate reservoirs in the Yingshan Formation of Tahe Oilfield Tarim Basin, China
2023, Geoenergy Science and EngineeringLocalized host-rock porosity near sealed fractures at 7 km depth: Geochemical evidence of deep-seated porosity controls
2023, Journal of Structural Geology