Cole Cole Time Fractal Dimension For Characterizing .

2y ago
48 Views
3 Downloads
518.89 KB
16 Pages
Last View : 13d ago
Last Download : 3m ago
Upload by : Vicente Bone
Transcription

Journal of Environmental SciencesVolume 1 Issue 4Open AccessResearch ArticleCole cole time fractal dimension for characterizing Shajara Reservoirs of the Permo-CarboniferousShajara Formation, Saudi ArabiaKhalid Elyas Mohamed Elameen Alkhidir 1*Department of Petroleum and Natural Gas Engineering, College of Engineering King Saud University, Saudi arabia*Corresponding author: Prof. Khalid Elyas Mohamed Elameen Alkhidir Ph.D, Department of Petroleum andNatural Gas Engineering, College of Engineering King Saud University, Saudi Arabia; Email: kalkhidir@ksu.edu.saCitation: Khalid Elyas Mohamed Elameen Alkhidir (2019) Cole cole time fractal dimension for characterizingShajara Reservoirs of the Permo-Carboniferous Shajara Formation, Saudi Arabia: Nessa J of Environmental Sciences.Received: 4th April 2019; Accepted: 9th May 2019; Published: 7th June 2019Copyright: 2019 Khalid Elyas Mohamed Elameen Alkhidir. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction inany medium, provided the original author and source are credited.AbstractThe quality and assessment of a reservoir can be documented in details by the application of cole cole time. Thisresearch aims to calculate fractal dimension from the relationship among cole cole time, maximum cole cole time andwater saturation and to confirm it by the fractal dimension derived from the relationship among capillary pressure andwater saturation. In this research, porosity was measured on real collected sandstone samples and permeability wascalculated theoretically from capillary pressure profile measured by mercury intrusion techniques. Two equations forcalculating the fractal dimensions have been employed. The first one describes the functional relationship betweenwetting phase saturation, cole cole time, and maximum cole cole time and fractal dimension. The second equationimplies to the wetting phase saturation as a function of capillary pressure and the fractal dimension. Two proceduresfor obtaining the fractal dimension have been utilized. The first procedure was done by plotting the logarithm of theratio between cole cole time and maximum cole cole time versus logarithm wetting phase saturation. The slope of thefirst procedure is positive 3- Df (fractal dimension). The second procedure for obtaining the fractal dimension wascompleted by plotting logarithm of capillary pressure versus the logarithm of wetting phase saturation. The slope ofthe second procedure is negative Df -3. On the basis of the obtained results of the fabricated stratigraphic columnand the attained values of the fractal dimension, the sandstones of the Shajara reservoirs of the Shajara Formationwere divided here into three units. These units from bottom to top are: Lower Shajara Cole Cole Time FractalDimension Unit, Middle Shajara Cole Cole Time Fractal Dimension Unit, and Upper Shajara Cole Cole Time FractalDimension Unit. The three reservoir units were also confirmed by capillary pressure fractal dimension. It was foundthat the obtained fractal dimension increases with increasing grain size and permeability.Keywords: Shajara Reservoirs, Shajara Formation, cole cole time fractal dimension, capillary pressure fractaldimension.Nessa Publishers www.nessapublishers.comPage 1

Journal of Environmental SciencesVolume 1 Issue 4IntroductionToledo et al reported that the wetting phase saturation can be described as function of capillary pressure and fractaldimension. Li and Horne. Demonstrated that the Purcell model was found to be the best fit to the experimental data ofthe wetting phase relative permeability for the cases as long as the measured capillary pressure curve had the sameresidual saturation as the relative permeability curve. They also reported that in the reverse procedure, capillarypressure could also be computed once relative permeability data are available. Li and Willams Derived theoretically amodel to correlate capillary pressure and resistivity index based on the fractal scaling theory. Their resultsdemonstrated that the model could match the experimental data in a specific range of low water saturation. Zhang andWeller showed the fractal dimension resulting from longer transverse NMR relaxation times and lower capillarypressure reflects the volume dimension of larger pores. They also reported that the fractal dimension derived from theshort NMR relaxation times is similar to the fractal dimension of the internal surface. Wang etal Reported that thefractal dimensions can be used to represent the complexity degree and heterogeneity of pore structure, and thecoexistence of dissolution pores and large intergranular pores of Donghetang sandstones contributes to aheterogeneous pore throat distribution and a high value of fractal dimension. Guo etal studied the relationship amongcapillary pressure (PC), nuclear magnetic transverse relaxation time (T2) and resistivity index (I). An increase ofbubble pressure fractal dimension and pressure head fractal dimension and decreasing pore size distribution index andfitting parameters m*n due to possibility of having interconnected channels was confirmed by Alkhidir. An increaseof fractal dimension with increasing arithmetic, geometric relaxation time of induced polarization, permeability andgrain size was investigated by Alkhidir. An increase of seismo electric and resistivity fractal dimensions withincreasing permeability and grain size was described by Alkhidir. An increase of electro kinetic fractal dimensionwith increasing permeability and grain size was reported by Alkhidir. A transverse relaxation time of nuclearmagnetic resonance fractal dimension was reported by Alkhidir.Material and MethodSamples were collected from the surface type section of the Shajara reservoirs of the Permo-carboniferous Shajaraformation at latitude 26 52′ 17.4″, longitude 43 36′ 18″. Porosity was measured and permeability was derived fromthe measured capillary pressure data.The Cole cole time (Tcc) can be scaled asSw [ Tcc] Tccmax3 Df13 Df [Tcc 21]1Tccmax 2Where sw is the water saturation; Tcc cole cole time in second; Tcc max is the maximum cole cole time in second; Dfis the fractal dimensionEquation 1 can be proofed fromNessa Publishers www.nessapublishers.comPage 2

Journal of Environmental SciencesVolume 1 Issue 4Tcc A22Di2Where tcc is cole cole time in second; A is the pore throat radius in meter; Di is the diffusion coefficient in squaremeter per second m2/s.The pore throat radius A can be scales as[2 σ cosϴ]A []pc3Where σ is the surface tension; ϴ is the contact angle; and pc is the capillary pressure.[4 σ2 cosϴ2 ]A []pc 224Insert equation 4 into equation 2[4 𝜎 2 𝑐𝑜𝑠𝛳2 ]𝑇𝑐𝑐 []2 𝐷𝑖 𝑝𝑐 25[4 σ2 cosϴ2 ] ] Tcc [2 Di pc 26[ 2 σ cosϴ]] Tcc [[pc Di]7Take the square root of Equation 5The cumulative pore volume can be scaled asv r 3 Df8v pc (Df 3)9Differentiate Equation 9 with respect to capillary pressureΔv pc Df 4Δpc10If we remove the sign of proportionality of equation 10 we have to multiply by a constant.Δv constant pc Df 4Δpc11Integrate equation 11Nessa Publishers www.nessapublishers.comPage 3

Journal of Environmental SciencesVolume 1 Issue 4pcpc Df 4 ΔPc Δv constant 12pcminThe result of integral of equation 12v constant [pc Df 3 pcmin Df 3 ]Df 313The total pore volume can be integrated aspcmax Δvtotal constant pc Df 4 ΔPc14pcminThe result of integration of equation 14vtotal constant [pcmax Df 3 pcmin Df 3 ]Df 315The water saturation is defined as the ratio of cumulative volume to the total pore volume, divide equation 13 byequation 15Sw vconstant[pc Df 3 pcmin Df 3 ] vtotalDf 3 [constant [pcmax Df 3 pc16minDf 3Df 3 ]]But; Pcmin Pc, then equation 16 will becomeSw [pc Df 3]𝑝𝑐𝑚𝑎𝑥17Rearrange equation 7[ 2 σ cosϴ]pc [][ Tcc Di]18Insert equation 18 into equation 17[𝑆w ([[ 2 σ cosϴ][ Tcc Di]Df 3]19)[ 2 σ cosϴ][ Tccmax Di]]Equation 19 after simplification will becomeDf 3 TccmaxSw [] Tcc Tcc [] TccmaxNessa Publishers www.nessapublishers.com3 Df13 Df [Tcc 21]20Tccmax 2Page 4

Journal of Environmental SciencesVolume 1 Issue 4Equation 20 is the prove of equation 1 which relate water saturation to cole cole time; maximum cole cole time andfractal dimension.The capillary pressure can be scaled aslog Sw (Df 3) log Pc constant21Where Sw the water saturation, Pc the capillary pressure and Df the fractal dimensionResult and discussionBased on field observation the Shajara Reservoirs of the Permo-Carboniferous Shajara Formation were divided hereinto three units as designated in Figure 1.These units from bottom to top are: Lower Shajara Reservoir, MiddleShajara reservoir, and Upper Shajara Reservoir. Their developed results of the Cole cole time fractal dimension andcapillary pressure fractal dimension are shown in Table 1. Based on the achieved results it was found that the Colecole time fractal dimension is equal to the capillary pressure fractal dimension. The maximum value of the fractaldimension was found to be 2.7872 assigned to sample SJ13 from the Upper Shajara Reservoir as confirmed in Table1. Whereas the minimum value 2.4379 of the fractal dimension was recounted from sample SJ3 from the LowerShajara reservoir as displayed in Table1. The cole cole time fractal dimension and capillary pressure fractal dimensionwere witnessed to increase with increasing permeability as proofed in Table1 owing to the possibility of havinginterconnected channels.The Lower Shajara reservoir was symbolized by six sandstone samples (Figure 1), four of which considered as SJ1,SJ2, SJ3 and SJ4 as confirmed in Table 1 were carefully chosen for capillary pressure measurement. Their positiveslopes of the first procedure and negative slopes of the second procedure are delineated in (Figure 2, Figure3, Figure4,Figure 5 and Table 1). Their cole cole time fractal dimension and capillary pressure fractal dimension values areproofed in Table 1. As we proceed from sample SJ2 to SJ3 a pronounced reduction in permeability due to compactionwas reported from 1955 md to 56 md which reflects decrease in cole cole time fractal dimension and capillarypressure fractal dimension from 2.7748 to 2.4379 as specified in Table 1. Again, an increase in grain size andpermeability was recorded from sample SJ4 whose Cole cole time fractal dimension and capillary pressure fractaldimension was found to be 2.6843 as described in Table 1.In contrast, the Middle Shajara reservoir which is separated from the Lower Shajara reservoir by an unconformitysurface as shown in Figure 1. It was designated by four samples (Fig. 1), three of which named as SJ7, SJ8, and SJ9 asillustrated in Table 1 were picked for capillary pressure measurement. Their positive slopes of the first procedure andnegative slopes of the second procedure are displayed in (Figure 6, Figure 7, Figure 8 and Table 1). Their Cole coletime fractal dimensions and capillary pressure fractal dimensions show similarities as defined in Table 1.Their fractaldimensions are higher than those of samples SJ3 and SJ4 from the Lower Shajara Reservoir due to an increase in theirpermeability as elucidated in Table 1.Nessa Publishers www.nessapublishers.comPage 5

Journal of Environmental SciencesVolume 1 Issue 4On the other hand, the Upper Shajara reservoir is separated from the Middle Shajara reservoir by yellow greenmudstone as revealed in Figure 1. It is defined by three samples so called SJ11, SJ12, and SJ13 as explained in Table1. Their positive slopes of the first procedure and negative slopes of the second procedure are exhibited in (Figure 9,Figure10, Figure 11 and Table 1). Moreover, Cole cole time fractal dimension and capillary pressure fractaldimension are also higher than those of sample SJ3 and SJ4 from the Lower Shajara Reservoir due to an increase intheir permeability as explained in Table 1.Overall a plot of Cole cole time fractal dimension versus capillary pressure fractal dimension as shown in Figure 12reveals three permeable zones of varying Petro physical properties. Such variation in fractal dimension can accountfor heterogeneity which is a key parameter in reservoir quality assessment. This heterogeneity was also confirmed byplotting positive slopes of the first procedure versus negative slopes of the second procedure as proofed in Figure 13.ConclusionThe sandstones of the Shajara Reservoirs of the Permo-Carboniferous Shajara Formation were divided here into threeunits based on Cole cole time fractal dimension. The units from bottom to top are: Lower Shajara Cole Cole TimeFractal dimension Unit, Middle Shajara Cole Cole Time Fractal Dimension Unit, and Upper Shajara Cole Cole TimeFractal Dimension Unit. These units were also proved by capillary pressure fractal dimension. The fractal dimensionwas found to increase with increasing grain size and permeability.AcknowledgementThe author would like to thank King Saud University, College of Engineering, Department of Petroleum and NaturalGas Engineering, Department of Chemical Engineering, Research Centre at College of Engineering, and KingAbdullah Institute for Research and Consulting Studies for their supports.Nessa Publishers www.nessapublishers.comPage 6

Journal of Environmental SciencesVolume 1 Issue 4References1. AlKhidir KEME. (2017). Pressure head fractal dimension for characterizing Shajara Reservoirs of the ShajaraFormation of the Permo-Carboniferous Unayzah Group, SaudiArabia. Archives of Petroleum &Environmental Biotechnology, 2017 (2): 1-7.2. Al-Khidir KE. (2018). On Similarity of Pressure Head and Bubble Pressure FractalDimensions for Characterizing Permo-Carboniferous Shajara Formation, Saudi Arabia. Journal of Industrial Pollution and Toxicity, 1(1): 1-10.3. Alkhidir KEME. (2018) Arithmetic relaxation time of induced polarization fractal dimension forcharacterizing Shajara Reservoirs of the Shajara Formation. Nanoscience and Nanotechnology, 2 (1): 1-8.4. Alkhidir KEME. (2018). Geometric relaxation time of induced polarization fractal dimension forcharacterizing Shajara Reservoirs of the Shajara formation of the Permo-Carboniferous Unayzah GroupPermo. International Journal of Petrochemistry and Research, 2 (1): 105-108.5. AlKhidir KEME.(2018). Seismo Electric field fractal dimension for characterizing ShajaraReservoirs of thePermo-Carboniferous Shajara Formation. Saudi Arabia, Petroleum & Petrochemical Engineering Journal, 2(4): 1-7.6. Alkhidir KEME. (2018). Resistivity Fractal Dimension for Characterizing Shajara Reservoirs of the PermoCarboniferous Shajara Formation, Saudi Arabia. International Journal of Petrochemical Science &Engineering, 3 (3): 109-112.7. Alkhidir KEME. (2018). Electro Kinetic Fractal Dimension for Characterizing Shajara Reservoirs of thePermo-Carboniferous Shajara Formation, Saudi Arabia. International Journal of Nanotechnology in Medicineand Engineering, 3 (4): 1-7.8. Alkhidir KEME. (2019). Transverse Relaxation Time Fractal Dimension of Nuclear Magnetic Resonance forCharacterizing Shajara Reservoirs of the Permo-Carboniferous Shajara Formation, Saudi Arabia. Petroleumand Chemical Industry International, 2 (2): 1-6.9. Guo Y-h., Pan B-z., Zhang L-h., Fang C-h. (2018). Research and application of the relationship betweentransverse relaxation time and resistivity index in tight sandstone reservoir. Journal of petroleum science andengineering, 160:597-604.10. Li K. & Horne R.N. (2002). Experimental verification of methods to calculate relative permeability usingcapillary pressure data. SPE 76757, Proceedings of the 2002 SPE Western Region Meeting/AAPG PacificSection Joint Meeting held in Anchorage, Alaska. 2002.11. Li K. & Willams W. (2007). Determination of capillary Pressure function from resistivity data, Transport inPorous Media, 67:1–15.Nessa Publishers www.nessapublishers.comPage 7

Journal of Environmental SciencesVolume 1 Issue 412. Toledo G T, Navy R A, Davis H T, & Scriven L E. (1994). Capillary pressure, water relative permeability,electrical conductivity and capillary dispersion coefficient of fractal porous media at low wetting phasesaturation, SPE advanced technology Series. 2:136–141.13. Wang Z, Pan M, Shi Y, Liu L, Xiong F, & Qin Z. (2018). Fractal analysis of Donghetang sandstones usingNMR measurements. Energy & Fuels, 32 (3): 2973-2982.14. Zhang Z & Weller A. (2014). Fractal Dimension of Pore-Space Geometry of Eocenesandstone Formation.Geophysics.79:D377-D387.Nessa Publishers www.nessapublishers.comPage 8

Journal of Environmental SciencesVolume 1 Issue 4Figure 1: surface type section of the Shajara Reservoirs of the Permo-Carboniferous Shajara Formation, latitude 26 52' 17.4", longitude 43 36' 18".Nessa Publishers www.nessapublishers.comPage 9

Journal of Environmental SciencesVolume 1 Issue 4Figure 2: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ1Figure 3: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ2Nessa Publishers www.nessapublishers.comPage 10

Journal of Environmental SciencesVolume 1 Issue 4Figure 4: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ3Figure 5: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ4Nessa Publishers www.nessapublishers.comPage 11

Journal of Environmental SciencesVolume 1 Issue 4Figure 6: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ7Figure 7: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ8Nessa Publishers www.nessapublishers.comPage 12

Journal of Environmental SciencesVolume 1 Issue 4Figure 8: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ9Figure 9: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ11Nessa Publishers www.nessapublishers.comPage 13

Journal of Environmental SciencesVolume 1 Issue 4Figure 10: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ12Figure 11: Log (TCC1/2/TCCmax1/2) & log Pc versus log Sw for sample SJ13Nessa Publishers www.nessapublishers.comPage 14

Journal of Environmental SciencesVolume 1 Issue 4Figure 12: Cole cole fractal dimension versus capillary pressure fractal dimensionFigure 13: Slope of the first procedure versus slope of the second procedureNessa Publishers www.nessapublishers.comPage 15

Journal of Environmental SciencesVolume 1 Issue 4Table 1 Petro physical model showing the three Shajara Reservoir Units with their corresponding values of cole coletime fractal dimension and capillary pressure fractal dimensionFormation ReservoirSample Porosityk%(md)Permo-Carboniferous Shajara FormationUpperPositiveNegativeCole coleCapillaryslope of theslope of dureprocedureSlope 3-DfSlope raReservoirNessa Publishers www.nessapublishers.comPage 16

Equation 20 is the prove of equation 1 which relate water saturation to cole cole time; maximum cole cole time and fractal dimension. The capillary pressure can be scaled as logSw (Df 3) logPc constant 21 Where Sw the water saturation, Pc the capillary pressure and

Related Documents:

of geometrical complexity that can model many natural phenomena. Almost all natural objects can be observed as fractals (coastlines, trees, mountains, and clouds). Their fractal dimension strictly exceeds topological dimension [2]. Fractal analysis means the determination of the fractal dimensions of an image. The fractal dimensions

All rights reserv ed. www.arpnjournals.com 8549 dimension of a fractal curve is an indication of achieving better space-filling of that fractal. On the other hand, not all fractal curves can be used in the filter design applications. Some of the fractal geometries have been successfully employed to the design different antennas for

FRACTALS AND FRACTAL DIMENSION A precise physical definition of fractal has not yet appeared, nor is it essential for applications in image processing. More important is the general concept of a Johns Hopkins APL Technical Digest, Volume 12, Number 4 (1991) fractal. Falconer1 defines fractals as objects with some or

edge contours play a dominant role in defining perception of fractals [44]. The importance of edge contours is sup-first such experiments, performed in 1994, I used a chaotic pendulum [34] to generate fractal and non-fractal pat-terns. In perception experiments based on these images, 95% of participants preferred the fractal to the non-fractal

discussed the applications of fractal geometry (in his words, the "geometry of nature"), especially for their use in studying the natural world. [4] In his book Fractal Geometry, Kenneth Falconer avoids giving a precise de nition of a fractal, writing "it seems best to regard a fractal as a set that has properties as those listed below, rather

Fractal Geometry. Fractal Geometry Mathematical Foundations and Applications ThirdEdition KennethFalconer University of St Andrews, UK. This edition first published 2014 . There are fractal analogues of such properties, usually with dimension playing a key role. Thus, we consider, for example, the local form of fractals and projections .

t. The log-normal distribution is described by the Cole-Cole a, and the mode of the distribution is the time constant of relaxation [Cole and Cole, 1941]. If the Cole-Cole distribution parameter, a, is unity, then there is a single time constant of relaxation and the Cole

Thermal Management and Packaging of High Temperature Automotive Power Electronics Gilbert Moreno 3D Power Electronics Integration and Manufacturing June 26, 2018 This presentation does not contain any proprietary, confidential, or otherwise restricted information. NREL 2 Outline Motivation and objectives Describe the cooling systems currently used in automotive power electronics .