Permeability from porosimetry measurements: Derivation for a tortuous and fractal tubular bundle

Buiting, Jan; Clerke, Edward A.

doi:10.1016/j.petrol.2013.04.016

Cited by 52 publications

(22 citation statements)

References 15 publications

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“…Buiting et al [24] studied porosity-permeability relationships for a tortuous and fractal tubular bundle. Xu et al indicated that the geometrical parameters like porosity, fractal dimension for pore size distribution and tortuosity fractal dimension, have significant effect on the multiphase flow through unsaturated porous media [25].…”

Section: Introductionmentioning

confidence: 99%

Porous ceramic materials by pore-forming agent method: An intermingled fractal units analysis and procedure to predict thermal conductivity

Pia

Casnedi

Sanna

2015

Ceramics International

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Section: Introductionmentioning

confidence: 99%

Porous ceramic materials by pore-forming agent method: An intermingled fractal units analysis and procedure to predict thermal conductivity

Pia

Casnedi

Sanna

2015

Ceramics International

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“…Their application to carbonatic rocks entails significant uncertainties to model results that are barely quantifiable. However, conventional relationships are weak in carbonates, giving poor results [ Buiting and Clerke , ]. Consequently, the correlation model choice was done according to the petrographic observations and to the most suitable model for such features.…”

Section: Resultsmentioning

confidence: 73%

Reconstruction of rocks petrophysical properties as input data for reservoir modeling

Cantucci

Montegrossi

Lucci

et al. 2016

Geochem Geophys Geosyst

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The worldwide increasing energy demand triggered studies focused on defining the underground energy potential even in areas previously discharged or neglected. Nowadays, geological gas storage (CO2 and/or CH4) and geothermal energy are considered strategic for low‐carbon energy development. A widespread and safe application of these technologies needs an accurate characterization of the underground, in terms of geology, hydrogeology, geochemistry, and geomechanics. However, during prefeasibility study‐stage, the limited number of available direct measurements of reservoirs, and the high costs of reopening closed deep wells must be taken into account. The aim of this work is to overcome these limits, proposing a new methodology to reconstruct vertical profiles, from surface to reservoir base, of: (i) thermal capacity, (ii) thermal conductivity, (iii) porosity, and (iv) permeability, through integration of well‐log information, petrographic observations on inland outcropping samples, and flow and heat transport modeling. As case study to test our procedure we selected a deep structure, located in the medium Tyrrhenian Sea (Italy). Obtained results are consistent with measured data, confirming the validity of the proposed model. Notwithstanding intrinsic limitations due to manual calibration of the model with measured data, this methodology represents an useful tool for reservoir and geochemical modelers that need to define petrophysical input data for underground modeling before the well reopening.

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“…K-means clustering aims to partition the input observations into different clusters in which each observation belongs to the cluster with the nearest mean, and the center of each cluster is taken as the average capillary pressure curve. Their error bounds can be obtained as follows (Buiting and Clerke 2013;Buiting 2011): where…”

Section: Micp Data Clusteringmentioning

confidence: 99%

Modeling and simulation of transition zones in tight carbonate reservoirs by incorporation of improved rock typing and hysteresis models

Belhaj

Bera

2018

J Petrol Explor Prod Technol

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Transition zones in tight heterogeneous carbonate reservoirs contain a considerable amount of original oil in place. Identifying and characterizing the petrophysical flow units of the transition zone is crucial for reserve estimation and performance prediction. This paper presents a petrophysical rock typing method based on decoding pore-size distributions from mercury injection capillary pressure (MICP) data by using Thomeer hyperboles, with proven application in a tight carbonate reservoir in the Middle East region. In this study, 150 MICP data sets were used which were type curve matched using Thomeer Hyperbolas with closure correction. Multivariate clustering method has been employed to divide the samples into a number of groups for the purpose of both representing the reservoir heterogeneity and simplifying rock typing for dynamic modeling. From the MICP curves, it has been found that mainly monomodal pore systems prevail in the targeted transition zone and five different rock types are identified. It has been observed that most of the pore throat types are meso and micro types with the negligible existence of nano-pore type. The intrinsic advantage of this rock typing method is to describe the pore system quantitatively, which is different from other rock typing methods based on the apparent poro-perm relationship. The comparison of the grouped data with the petrophysical properties showed that different pore-size distributions yield similar porosity and permeability values, reinforcing the importance of grouping rocks based on pore systems instead of their resulting properties. Additionally, a study has also been conducted to improve understanding on the relative permeability in transition zone by implementing an up-to-date model for the mix-wet condition. The work in this paper provides a guide for the further understanding of rock typing and modeling of transition zones in carbonate reservoirs.

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Permeability from porosimetry measurements: Derivation for a tortuous and fractal tubular bundle

Cited by 52 publications

References 15 publications

Porous ceramic materials by pore-forming agent method: An intermingled fractal units analysis and procedure to predict thermal conductivity

Porous ceramic materials by pore-forming agent method: An intermingled fractal units analysis and procedure to predict thermal conductivity

Reconstruction of rocks petrophysical properties as input data for reservoir modeling

Modeling and simulation of transition zones in tight carbonate reservoirs by incorporation of improved rock typing and hysteresis models

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