Application of nuclear magnetic resonance permeability models in tight reservoirs

Solatpour, Razieh; Kantzas, Apostolos

doi:10.1002/cjce.23354

Cited by 12 publications

(9 citation statements)

References 21 publications

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“…36−38 These models can accurately predict the permeability of coal samples; however, choosing the matching model is challenging. 39 The PFS of deep coal is heterogeneous; therefore, it is necessary to modify or establish a permeability prediction model by studying the main factors influencing permeability in deep coal samples.…”

Section: T H Imentioning

confidence: 99%

“…These NMR permeability prediction models integrate various parameters, primarily reflecting three types of permeability-influencing factors: porosity, PSD, and fluid type. 39 Among these, the Coates model and the SDR model are the most widely applied permeability prediction models. 13 The Coates model is expressed as…”

Section: Permeability Prediction Based On T 2 Spectramentioning

confidence: 99%

See 1 more Smart Citation

Integrated NMR Analysis for Evaluating Pore-Fracture Structures and Permeability in Deep Coals: A One-Stop Approach

Liu,

Zhou,

Chen

et al. 2024

Energy Fuels

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Accurate evaluation and quantitative characterization of deep coal porefracture structure (PFS) is crucial for enhancing coalbed methane recovery efficiency. A novel approach combining transverse relaxation time and nuclear magnetic resonance (NMR) cryoporometry was employed to obtain a comprehensive pore size distribution by using NMR equipment alone. The relationship between the PFS and reservoir quality index was formulated. Two NMR permeability prediction models are further proposed for deep coals, providing a "one-stop" PFS permeability evaluation. The results show that it is practical to determine the surface relaxivity and obtain the pore size distribution by combining NMR cryoporometry tests with the surface relaxivity for coals from the mine of Pingdingshan, China, estimated to be approximately 4.63 μm/s. Seepage pore porosity, fractal dimension, and connectivity can be used to quantitatively characterize the differences in the PFS among coal samples and predict their influence on permeability. Coal samples with superior reservoir quality tended to display seepage pores characterized by high porosity, low heterogeneity, and enhanced connectivity. The proposed NMR permeability prediction models can accurately predict deep coal permeability, providing a rapid, nondestructive, and effective reservoir quality evaluation method.

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Section: T H Imentioning

confidence: 99%

Section: Permeability Prediction Based On T 2 Spectramentioning

confidence: 99%

Integrated NMR Analysis for Evaluating Pore-Fracture Structures and Permeability in Deep Coals: A One-Stop Approach

Liu,

Zhou,

Chen

et al. 2024

Energy Fuels

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“…Several models for estimating permeability have been developed (Peng et al 2019;Solatpour and Kantzas 2019). However, these correlations assumed the same surface relaxivity for the rock samples, thus, there is need to correct for the variations of surface relaxivity across samples.…”

Section: Permeabilitymentioning

confidence: 99%

A review on the applications of nuclear magnetic resonance (NMR) in the oil and gas industry: laboratory and field-scale measurements

Elsayed

Isah

Hiba

et al. 2022

J Petrol Explor Prod Technol

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This review presents the latest update, applications, techniques of the NMR tools in both laboratory and field scales in the oil and gas upstream industry. The applications of NMR in the laboratory scale were thoroughly reviewed and summarized such as porosity, pores size distribution, permeability, saturations, capillary pressure, and wettability. NMR is an emerging tool to evaluate the improved oil recovery techniques, and it was found to be better than the current techniques used for screening, evaluation, and assessment. For example, NMR can define the recovery of oil/gas from the different pore systems in the rocks compared to other macroscopic techniques that only assess the bulk recovery. This manuscript included different applications for the NMR in enhanced oil recovery research. Also, NMR can be used to evaluate the damage potential of drilling, completion, and production fluids laboratory and field scales. Currently, NMR is used to evaluate the emulsion droplet size and its behavior in the pore space in different applications such as enhanced oil recovery, drilling, completion, etc. NMR tools in the laboratory and field scales can be used to assess the unconventional gas resources and NMR showed a very good potential for exploration and production advancement in unconventional gas fields compared to other tools. Field applications of NMR during exploration and drilling such as logging while drilling, geosteering, etc., were reviewed as well. Finally, the future and potential research directions of NMR tools were introduced which include the application of multi-dimensional NMR and the enhancement of the signal-to-noise ratio of the collected data during the logging while drilling operations.

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“…This AI will be used later to convert the NMR signals to methane mass. For details on experimental procedure please refer elsewhere [11], [12]. Using the following equation, gravimetric mean of T2 is experimentally calculated at different pressures.…”

Section: Nmr Measurements Of Bulk Methanementioning

confidence: 99%

Towards Experimental Measurement of Methane Adsorption Isotherm in Shale Reservoirs

Solatpour¹,

Kantzas²

2019

Proceedings of the 4th World Congress on Momentum, Heat and Mass Transfer

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Unconventional petroleum resources, especially shales, constitute an increasing frontier of reserves additions as conventional production declines. This research is a study to investigate the interactions between shale rocks with gaseous hydrocarbons and mainly uses NMR logging which is a powerful tool to obtain in-situ rock and fluid properties of hydrocarbon reservoirs. In this study, a novel procedure is developed to quantitatively estimate the excess adsorption of gaseous hydrocarbon on shale gas reserves using direct measurements of an in-house built NMR setup. NMR experiments are conducted to measure NMR-porosity, relaxation distribution, and pore size distribution. These measurements are compared at different pressures in porous media with different adsorption capacity. As a result, adsorbed hydrocarbon gas content is estimated, and finally, adsorption isotherm is presented. Additional experiments such as gas expansion porosity and gravimetric adsorption are conducted to validate the new NMR method. In this research, for the first-time Low-Field NMR relaxometry with frequency close to logging tools is used for quantitative determination of adsorption isotherms of methane in shale reservoirs. These measurements help estimate the gas content and differentiate between adsorbed and free gas in porous media, paving the way for studies such as natural gas storage in shale rock, CO2 sequestration, and tight enhanced recoveries such as gas flooding and cyclic solvent injection.

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Application of nuclear magnetic resonance permeability models in tight reservoirs

Cited by 12 publications

References 21 publications

Integrated NMR Analysis for Evaluating Pore-Fracture Structures and Permeability in Deep Coals: A One-Stop Approach

Integrated NMR Analysis for Evaluating Pore-Fracture Structures and Permeability in Deep Coals: A One-Stop Approach

A review on the applications of nuclear magnetic resonance (NMR) in the oil and gas industry: laboratory and field-scale measurements

Towards Experimental Measurement of Methane Adsorption Isotherm in Shale Reservoirs

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