Experimental and Statistical Investigation of Reservoir Properties with the Effect of Waterflooding Treatment

Li, Zihao; Du, Chenguang; Tang, Yongqiang; Li, Xiangming

doi:10.1021/acsomega.0c02374

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…Thus, using the same concept as in Figure 7, dependencies can be built to predict the change in effective permeability by class. Analysing Figure 7, it can be concluded that as the water saturation of the rock samples increases from 0 to 54.0 %, their effective gas permeability will decrease under both standard and reservoir conditions and therefore there will be a transition from higher to lower permeability classes [37]. In fairness, it should be noted that this graph reflects the influence not only of residual water saturation, but also of porosity and structure of the pore space on permeability.…”

Section: Figurementioning

confidence: 91%

Experimental Study About Water Saturation Influence on Changes in Reservoirs Petrophysical Properties

Al-Obaidi

Smirnov

Alwan³

2021

Walailak J Sci & Tech

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Experimental determination of the physical properties of rocks under conditions simulating in situ reservoir conditions is of great importance both for the calculation of reserves and for the interpretation of well logging data. In addition, it is also important for the preparation of hydrocarbon field development projects. The study of the processes of changes in the petrophysical properties of the reservoir under controlled conditions allows not only to determine their reliability but also to evaluate the dynamics of these changes depending on the temperature and pressure conditions of the reservoir and the water saturation of the rocks. In this work, an evaluation of the dependence of the physical properties of hydrocarbon reservoirs on their water saturation (Sw) was carried out. Residual water saturation (Swr) was created in the rocks and the properties of these rocks were compared at the states of partial (25 %) and complete water saturation (100 %). The changes in petrophysical parameters of partially water saturated rocks during the increase in effective pressure were studied and estimates of these changes were obtained. The results showed that when the effective pressure is increased, the Swr increases by an average of 6 % compared to atmospheric conditions. This is accompanied by an increase in the velocity of longitudinal (by 51.9 % on average) and lateral waves (by 37.1 % on average). As residual water saturation increases, effective permeability decreases for both standard and reservoir conditions, with, gas permeability decreasing for both dry samples (by 23 % on average) and samples with residual water saturation (effective permeability decreases by 27 % on average). HIGHLIGHTS Changes in physical properties of hydrocarbon reservoirs by determining physical properties (permeability, porosity, elastic, electrical, deformation strength) under the standard conditions and in physical modelling of reservoir conditions and processes Assessment of the effectiveness of water saturation on the physical properties of the reservoir Comparisons between the petrophysical properties of reservoir core samples in which the pore space is fully saturated with the reservoir fluid model and samples with residual water saturation Experimental determination of the physical properties of rocks under conditions simulating in situ reservoir conditions Estimation of the changes in petrophysical parameters of partial water-saturated rocks during the increase in effective formation pressure GRAPHICAL ABSTRACT

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Section: Figurementioning

confidence: 91%

Experimental Study About Water Saturation Influence on Changes in Reservoirs Petrophysical Properties

Al-Obaidi

Smirnov

Alwan³

2021

Walailak J Sci & Tech

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“…The statistical method is to analyze small seismic windows within the reservoir [2], [10], [11], [14], [34], [35]. The studied seismic sections (Fig.…”

Section: Statistical Characterization Of Real Seismic Tracesmentioning

confidence: 99%

“…First, we tested the discriminatory power of the variables by using only one family at a time [7], [8], [34], [35]. The 19 variables calculated from the autocorrelation amplitude spectrum allow some grouping of individuals according to their facies, but the barycenter of the classes is less close.…”

Section: Discriminant Analysis Of Seismic Traces Of Different Seismic...mentioning

confidence: 99%

Automatic characterization and quantitative analysis of seismic facies in naturally fractured reservoir: Case study of Amguid Messaoud field, Algeria

Mahmoud

2023

Min. miner. depos.

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Purpose. Natural fractured reservoirs are a special category of reservoirs due to the effects of porosity and permeability. Optimizing the exploitation of hydrocarbon reserves in this type of reservoir requires a specific study compared to other conventional reservoirs. Methods. We have focused on the quantitative analysis of seismic traces for the purpose of an automatic seismic facies recognition strategy. The study area, the Amguid-Messaoud Basin, is formed by a series of horsts and grabens bounded by submeridional “North-East and South-West” faults, as well as perpendicular “North-West and South-East” faults with-out outcrops of fractures, which have a great influence on reservoir fracturing. A set of statistical data analysis methods, such as principal component analysis, discriminant factor analysis, and automatic classification, have been tested on real data from geophysical seismic data interpretation, in particular the stratigraphic interpretation. Findings. The results obtained show a better use of data, which, however, are of a different nature, leading to a reliable interpretation of the geological environment. Originality. The methodology proved to be useful for constructing a reservoir model and predicting the geological properties of the reservoir along a field. Practical implications. The results obtained clearly demonstrate the best use of data, which, however, are of a different nature, which leads to a reliable interpretation of the geological environment. These methods have proved to be very useful for constructing a reservoir model and predicting the geological properties of the latter along a field.

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“…These fines are generally held within the formation water film that surrounds the quartz grain in water-wet conditions . Fine migration may happen in different types of natural and technical processes, such as water aquifer recharging by some external water source, underground formation water disposal, groundwater flows, and invasion of drilling muds, invasion of completion fluids, acidizing and waterflooding treatments, high rate oil and gas production and injection, and improper design of oil recovery processes with low-salinity water injection. − …”

Section: Introductionmentioning

confidence: 99%

Fine Migration Control in Sandstones: Surface Force Analysis and Application of DLVO Theory

2020

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Formation damage caused by fine migration and straining is a well-documented phenomenon in sandstone reservoirs. Fine migration and the associated permeability decline have been observed in various experimental studies, and this phenomenon has been broadly explained by the analysis of surface forces between fines and sand grains. The Derjaguin−Landau−Verwey−Overbeek (DLVO) theory is a useful tool to help understand and model the fine release, migration, and control phenomena within porous media by quantifying the total interaction energy of the fine−brine−rock (FBR) system. Fine migration is mainly caused by changes in the attractive and repulsive surface forces, which are triggered by mud invasion during drilling activity, the utilization of completion fluid, acidizing treatment, and water injection into the reservoir during secondary and tertiary recovery operations. Increasing pH and decreasing water salinity collectively affect the attractive and repulsive forces and, at a specific value of pH, and critical salt concentration (CSC), the total interaction energy of the FBR system (V T ) shifts from negative to positive, indicating the initiation of fine release. Maintaining the system pH, setting the salinity above the CSC, tuning the ionic composition of injected water, and using nanoparticles (NPs) are practical options to control fine migration. DLVO modeling elucidates the total interaction energy between fines and sand grains based on the calculation of surface forces of the system. In this context, zeta potential is an important indicator of an increase or decrease in repulsive forces. Using available data, two correlations have been developed to calculate the zeta potential for sandstone reservoirs in high-and low-salinity environments and validated with experimental values. Based on surface force analysis, the CSC is predicted by the DLVO model; it is in close agreement with the experimental value from the literature. The critical pH value is also estimated for alkaline flooding. Model results confirm that the application of NPs and the presence of divalent ions increase the attractive force and help to mitigate the fine migration problem. Hence, a new insight into the analysis of quantified surface forces is presented in current research work by the practical application of the DLVO theory to model fine migration initiation under the influence of injection water chemistry.

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Experimental and Statistical Investigation of Reservoir Properties with the Effect of Waterflooding Treatment

Cited by 8 publications

References 31 publications

Experimental Study About Water Saturation Influence on Changes in Reservoirs Petrophysical Properties

Experimental Study About Water Saturation Influence on Changes in Reservoirs Petrophysical Properties

Automatic characterization and quantitative analysis of seismic facies in naturally fractured reservoir: Case study of Amguid Messaoud field, Algeria

Fine Migration Control in Sandstones: Surface Force Analysis and Application of DLVO Theory

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