4. Results of the Study
At the first stage of the study, histograms were constructed for the distribution of the available petrophysical parameters.
Figure 7 shows the distribution of the mineralogical density of the reservoir rocks. The distribution is unimodal and close to normal, although it has an asymmetric tail extending toward higher density values. The modal value is around 2.70 g/cm³, and the main part of the distribution lies within the range of 2.66–2.74 g/cm³
A broad range of mineralogical density values, amounting to 0.08 g/cm³ (
Figure 8), indicates substantial variability in the mineralogical composition of the reservoir matrix and makes it difficult to estimate porosity solely from density log data. Under such conditions, porosity calculations based only on density logging would be associated with significant error because of the strong heterogeneity of the reservoirs and the very low porosity of the rocks, generally on the order of 1–2% in absolute terms.
Figure 9 shows the distribution of bulk density in the rocks. As in the previous case, the distribution is unimodal and close to normal. A slight asymmetry toward lower density values is observed. The modal value is approximately 2.68 g/cm³.
The porosity distribution visually resembles a lognormal distribution (
Figure 10). More than 80% of the studied samples have porosity values of around 1%. 95% of the dataset have porosity below 2%. Only isolated samples show porosity values greater than 2% and appear in the distribution as anomalies, or outliers. Accordingly, the rocks under consideration cannot be regarded as porous.
Figure 10 also presents histograms of absolute gas permeability distribution, with permeability plotted on a logarithmic scale. Most samples have permeability below 0.01 mD. Rare samples show permeability values close to 1.0 mD. The rocks are therefore characterized by low permeability, which does not explain the observed inflows in the tested wells under conditions of vertical wells without hydraulic fracturing and in the presence of highly viscous oils.
Calcite content determined by carbonate analysis shows a normal distribution, with a modal value of approximately 15%. The calcite content in the samples ranges from 5% to 25% (
Figure 11). In rare samples, the proportion of calcite reaches 40%. On the basis of the available data, however, it is not possible to infer the presence of discrete carbonate layers.
Dolomite occurs in the rocks much less frequently than calcite (
Figure 11). According to the carbonate analysis, dolomite is absent in 65% of the samples, and its content does not exceed 15%, which indicates its secondary origin. The presence of dolomite reflects the circulation of formation waters enriched in magnesium ions and may simultaneously exert a positive influence on the reservoir properties of the rocks.
During dolomitization, calcite is partially replaced by dolomite, which creates additional secondary pore space. Because this process occurs predominantly in zones of active fluid flow, the resulting pore channels increase the connectivity of the void space and improve hydrodynamic permeability, thereby contributing to the formation of locally productive intervals within the reservoir.
Because the dolomite content determined by carbonate analysis is substantially lower than the calcite content, the overall carbonate distribution is, in shape, close to the distribution of calcite. The obtained results indicate the ubiquitous presence of carbonate minerals in the studied rocks. At the same time, the question of their genesis—whether primary sedimentary or secondary, associated with post-sedimentary transformations—remains debatable and requires further analysis.
After sample core collection, fluid extraction was carried out under laboratory conditions, followed by the determination of water saturation. This method is widely accepted; however, its reliability depends on compliance with a number of strict conditions, including isolated core recovery using special agents, prompt paraffin sealing or transportation of the core without disturbance of its saturated state, as well as drilling within the productive oil- and gas-saturated interval. In the absence of reliable information confirming compliance with these requirements, the obtained water-saturation values should be regarded as subject to a certain degree of uncertainty.
The distribution of this parameter (
Figure 12) is unimodal and close to normal. The modal value is approximately 15%, with a variation range from 5% to 30%. In general, the recorded values are low and are typically characteristic either of rocks with elevated permeability or of hydrophobized reservoirs.
The summary table of the statistical parameters of the studied variables is presented in
Table 1.
At the next stage of the study, cross-plots were analyzed for the principal petrophysical parameters, including both two-dimensional relationships and three-dimensional representations in which the third parameter was expressed by marker size. This approach makes it possible to account for multivariate relationships and enhances the interpretive value of the analysis under conditions of lithological heterogeneity.
The comparison of bulk density and porosity is a basic analytical tool; however, its applicability is limited in heterogeneous media such as the J-III productive horizon.
As illustrated in
Figure 13, when porosity is below 1.5%, the data exhibit substantial scatter. Although an overall trend of decreasing density with increasing porosity is apparent, the high variability and limited range of values prevent the establishment of a robust correlation. This behavior likely reflects the influence of heterogeneous mineral composition and post-depositional alterations.
At porosity values above 2%, a more pronounced trend emerges, corresponding to the classical relationship of increasing porosity with decreasing density (
Figure 13). However, this domain is represented by only a limited number of samples and may therefore be regarded as anomalous. These samples are characterized by a mineralogical density of about 2.72 g/cm³, which may indicate their affinity to siltstone-rich or carbonatized lithologies with minimal secondary void space.
Given the low content of carbonate minerals indicated by carbonate analysis, the development of elevated porosity due to carbonate rocks appears unlikely. Most probably, the observed anomalies are associated with the development of secondary void space caused by fracturing or local dissolution processes, which underscores the key role of structural factors in the formation of reservoir properties.
The relationship between mineralogical density and porosity was also examined (
Figure 14). In the porosity range below 2%, the data show a scattered distribution with no clearly expressed relationship. At porosity values above 2%, a stable trend of increasing porosity with increasing mineralogic density is observed.
This relationship indicates differences in the mechanisms of void-space formation. In “clean” terrigenous lithologies, porosity is virtually absent, whereas in clay-enriched and/or carbonatized rocks, secondary porosity develops. In this case, the increase in mineralogical density most likely reflects the influence of secondary transformations accompanied by the formation of additional pore channels.
The identified trend is of practical interest, as it may indicate that enhanced porosity is spatially associated with zones of secondary processes that may be potentially favorable for hydrocarbon accumulation.
Figure 15 illustrates the relationship between bulk density and mineralogical density. Most of the data are concentrated near the line of equal values, indicated by the black line, which explains the predominance of near-zero porosity values in the studied dataset.
The reduced-porosity zone is outlined by a red dash-dotted contour. It is important to note that even at similar bulk-density values, mineralogical density shows substantial scatter. This indicates that porosity calculations are highly sensitive to the correct specification of mineralogical density: an incorrect estimate may lead to significant distortions in porosity values and related parameters, making it impossible to calculate porosity in the studied deposits solely from density-log data.
To test the hypothesis that elevated mineralogical density is related to carbonate content and that porosity is controlled by secondary void space, a cross-plot of mineralogical density versus total carbonate content was constructed (
Figure 16). The resulting distribution is cloud-like, and no pronounced correlation between the parameters is observed even at a qualitative level.
This indicates that carbonate content is not the determining factor behind elevated mineralogical density. Accordingly, the increased porosity values observed in individual samples are most likely not related to carbonatization and the development of secondary void space, but are instead controlled by other factors that require further analysis.
To assess the influence of carbonate content on porosity, a cross-plot of bulk density versus porosity was constructed, with calcite content derived from carbonate analysis represented by marker size (
Figure 17).
In the domain of elevated porosity, a wide scatter is observed, with calcite content ranging from low to high values. This indicates that calcitization, although it may locally influence the development of porosity, is not the principal factor controlling enhanced porosity in the rocks. To assess the influence of dolomite on porosity, an analogous plot was constructed in which dolomite content is represented by marker size (
Figure 18). The distribution shows that elevated porosity is predominantly characteristic of rocks with low or absent dolomite content, indicating its limiting influence on the development of void space.
Dolomite generally forms during the dolomitization of calcite in the presence of magnesium-bearing fluids; therefore, its occurrence may indicate zones of fluid circulation, although it does not always unambiguously reflect intensive flow. Most likely, dolomitization developed in intervals that historically possessed elevated permeability, whereas the present-day zones of enhanced porosity represent residual or secondarily formed flow pathways.
The comparison of dolomite and calcite contents (
Figure 18) shows that dolomite occurs only in a limited number of samples and that its content is relatively low compared with calcite, indicating the localized nature of dolomitization. Such a pattern may reflect either restricted circulation of formation waters during the dolomitization stage or partial transformation of dolomite into calcite.
Given the regional evidence for thermal heating of the area and the presence of deep-seated hot fluids, the dedolomitization hypothesis appears to be the most plausible. During this process, dolomite may have been transformed into calcite with simultaneous occlusion of pore space, which explains the near-zero porosity values. In this context, the involvement of metasomatic processes is not required to interpret the observed changes in porosity and mineralogical composition.
Overall, the rocks may be classified as non-reservoirs; however, intervals with improved storage and flow properties are locally developed. For a more comprehensive assessment, a cross-plot of porosity versus absolute gas permeability was constructed (
Figure 19). The sample distribution can be conventionally divided into three domains:
Porosity < 2% and permeability < 0.01 mD, corresponding to a classical non-reservoir.
Porosity < 2% and permeability > 0.01 mD, predominantly representing samples with well-developed fracturing.
Porosity > 2%, where elevated porosity is observed, but no pronounced correlation with permeability has been identified. Most likely, this domain reflects micropores or increased pore-space connectivity near the sample surface, whereas the observed high porosity values are controlled by the specific features of the experimental measurements.
This analysis confirms that most of the horizon is characterized by poor reservoir properties, whereas elevated porosity in individual samples is not necessarily associated with commercial productivity.
To test the hypothesis that reservoir fracturing is developed in zones of inferred defects, the samples were color-coded on the plot according to the laboratory notes. Samples with defects, including fractures, chips, and other damage, were highlighted by red square markers.
Figure 20 shows good agreement between the expert-defined zone of fractured core samples and the defect data recorded by the laboratory. At the same time, two samples with elevated porosity were also classified as damaged, one chipped and one broken, which should be taken into account when interpreting their storage and flow properties.
The influence of carbonate alteration on reservoir properties was then examined.
Figure 21 presents a cross-plot of porosity versus permeability in which marker size represents calcite content according to carbonate analysis. The plot indicates that no relationship was established between calcite content and reservoir properties.
Figure 22 presents the results of the comparison of reservoir properties, in which marker size reflects dolomite content determined by carbonate analysis. Dolomitization was found to be predominantly confined to the domain of poor storage and flow properties. Samples with defects and elevated porosity generally contain no dolomite or only minor amounts of it, which allows dolomitization to be regarded as a possible indicator of deteriorated reservoir quality. Consequently, in the studied dataset, increased dolomitization is associated with poorer reservoir properties, whereas low dolomite content is not, in itself, a sufficient condition for the development of pronounced fracturing or elevated porosity.
To clarify the nature of the elevated porosity, the porosity-permeability relationship was analyzed by varying marker size according to the grain-size composition derived from granulometric data. It should be taken into account that carbonate-rich lithologies tend to be abraded into fine powder during sample preparation, which leads to their concentration in the fine-grained fraction.
Figure 23 illustrates the relationship between storage and flow properties for samples belonging to different grain-size fractions. Samples corresponding to the coarsest fraction were found to be predominantly concentrated within the domain of minimum reservoir quality. As particle size decreases, which in the original plots was reflected by changes in marker size, samples with elevated porosity begin to appear, together with samples characterized by defects. The generalized analysis presented in the figure 23 shows that samples with elevated porosity are associated with a predominance of fine-grained material, up to the pelitic fraction. This indicates that the observed enhanced porosity is controlled mainly by the development of fine pore space, corresponding to low storage and flow properties and, most likely, to unfavorable reservoir characteristics in the geological past.
The low carbonate content of such samples is apparently related to the fact that the circulation of formation waters and deep-seated solutions occurred predominantly through zones of elevated permeability, which led to mineralization and reduction of the original pore space, mainly through the precipitation of carbonate minerals.
Additional support for this interpretation is provided by the results of acid treatment using a mixture of hydrochloric and acetic acids: for well 1136, permeability increased by factors of 4458 and 5638 (
Table 2), indicating a substantial potential for dissolution of mineralized pore space.
Despite the high efficiency of hydrochloric-acid treatments, their application at the present stage appears to be associated with elevated risks and limited technological feasibility.
First, the solutions have relatively high density and, under the action of gravity, tend to drain downward, forming conductive channels, which may lead to accelerated water inflow and premature water breakthrough.
Second, the absence of confirmed reservoir properties of the matrix, according to laboratory studies, calls into question the effectiveness of acid injection into the matrix portion of the rocks and, accordingly, its practical justification.
It is recommended that the development strategy should focus on ensuring that a single well intersects the maximum possible number of fractures. At present, two principal approaches are being considered.
The first is hydraulic fracturing, which, however, is associated with the risk of enhancing hydrodynamic communication with water-saturated zones and, consequently, accelerating water breakthrough. In addition, the high degree of fracturing of the rock mass increases the probability of premature termination of the operation (screenout).
The second is the drilling of horizontal wells in the near-roof part of the target interval, which makes it possible to increase the number of intersected fractures and to ensure more uniform recovery of reserves. At the same time, drawdown must be maintained at the maximum permissible level, since breakthrough along individual fractures may substantially reduce production rates. This approach requires pilot field testing, including justification of the optimal drilling azimuths with due regard to fracture geometry and the stress state of the rock mass.
Principal Minerals and Their Relation to Pore-Space Evolution Based on XRD Data
This section presents the results of X-ray diffraction (XRD) analysis of 70 samples collected from wells 1136 (40 samples) and 8096 (30 samples). Quartz, calcite, albite, and chlorite were identified as the principal rock-forming minerals, while nacrite, kaolinite, chalcopyrite, molybdenite, and graphite are present in subordinate amounts. Summary statistical characteristics of mineral concentrations are presented in
Table 3.
It should be noted that a substantial proportion of the samples selected for XRD analysis were taken from depths that do not coincide with the core intervals used in the other laboratory investigations, which limits the possibility of correctly correlating mineralogical composition with the obtained petrophysical data
The occurrence frequency of the identified minerals in the studied samples was analyzed.
Figure 24 presents a histogram of their occurrence frequency, normalized to the total number of samples. Quartz was found to be present in 100% of the samples. Albite was identified in 89% of the samples, calcite in 80%, and chlorite in 63%. Clay minerals were recorded in more than half of the samples
Nacrite, kaolinite, chalcopyrite, molybdenite, and graphite were detected in subordinate amounts. The latter was identified in only a single sample, which may indicate rock formation under elevated-temperature conditions.
The statistical analysis of the distributions of the most frequently occurring minerals identified by X-ray diffraction (XRD) is as follows (
Figure 25):
Quartz content is characterized by a complex distribution deviating from normality. The principal mode is confined to the 40–60% interval. In the lower-value range (20–40%), the distribution is relatively uniform, whereas the high-concentration interval (60–80%) is represented by a limited number of samples and occurs much less frequently.
Albite content exhibits a three-component structure. The main cluster of values is concentrated within the 10–50% interval and is close to a normal distribution with a mode at approximately 35%. About 10% of the samples are characterized by the absence of albite, while another distinct group, also accounting for approximately 10%, falls within the 60–70% range.
Calcite content in most samples varies from 10% to 25%, with a modal value of about 15%, which is consistent with the carbonate-analysis data. In approximately 20% of the samples, calcite was not detected. Within the 30–45% interval, its values are rare and show no pronounced concentration.
Chlorite content follows a pattern close to lognormal: about 37% of the samples are characterized by near-zero values. As mineral content increases, its occurrence decreases progressively.
When albite and quartz concentrations are compared across the samples (
Figure 26), a clear inverse trend is observed: as the content of one mineral increases, the proportion of the other decreases. Thus, at a quartz concentration of about 20%, the combined content of these two minerals reaches approximately 90% of the total mineral composition of the rocks; at 40% quartz, this value decreases to 80%, and at 60% quartz, to 70%. This indicates an increasing contribution of other minerals with increasing quartz content. Albite and quartz act as the principal rock-forming minerals, whereas samples with nearly zero albite content are extremely rare.
The relationship between quartz and calcite contents (
Figure 27) makes it possible to distinguish three characteristic domains. The first domain corresponds to samples with virtually zero calcite content. In the second domain, over a wide range of quartz contents, calcite values are consistently clustered near ~10%. The third domain, which is the most representative in terms of the number of samples, is characterized by a steady decrease in calcite content with increasing quartz proportion. In terms of the type of relationship, this domain is comparable to the previously considered quartz-albite system and reflects a similar inverse relationship between the components.
The marker size is set proportional to albite concentration (Fig. 27). The groups considered above may be interpreted as follows:
In a number of samples, calcite content is close to zero regardless of quartz concentration, at a moderate albite level.
At low quartz contents and elevated albite concentrations, calcite is present at a level of about 10%.
The domain in which calcite content decreases with increasing quartz is characterized by intermediate albite values.
Calcite in the studied samples functions as a secondary or filling mineral; its concentration is inversely correlated with the contents of quartz and albite, occupying the residual volume of the rock.
In the quartz-chlorite distribution (
Figure 28), two distinct domains can be recognized. In the first domain, chlorite is virtually absent regardless of quartz content, whereas in the second its concentration increases with increasing quartz proportion. At the same time, the type of relationship observed in the second domain is opposite to that previously identified for the quartz-albite and quartz-calcite relationships. These data may indicate the presence of at least two types of source material, one more enriched and the other less enriched in the clay component.
For analysis of the «quartz-chlorite» distribution, marker size was set proportional to albite content, the second most frequently occurring mineral after quartz (
Figure 28). The plot shows that, as chlorite content increases, albite concentration decreases. This indicates that even at relatively low concentrations, clays remain important sedimentary minerals. Thus, the principal or derivative minerals in the studied rocks are quartz, chlorite, and albite, whereas calcite acts as a secondary mineral filling the available pore space.
The calcite-albite distribution field (Figure 36) exhibits several domains. The main group of samples is characterized by decreasing calcite content with increasing albite content. At the same time, individual samples occur with zero calcite content or with calcite present at anomalously high albite concentrations. Overall, the distribution may be described by a linear relationship between the minerals under consideration, despite the presence of individual anomalous domains with non-standard concentration behavior.
Figure 29 illustrates the relationship of calcite content to albite and chlorite concentrations in the samples based on X-ray diffraction (XRD) data. Zero calcite concentrations are observed at various chlorite levels, whereas in some samples chlorite is absent despite substantial calcite concentrations. In the main part of the dataset, a tendency for chlorite content to decrease with increasing calcite content is observed; however, no well-defined dense trends are identified. Of particular interest is the presence of an envelope in the upper half-plane of the distribution, which may indicate a state of system balance in which a decrease in one component is compensated by an increase in the other.
Figure 30 shows the results of the comparison between albite and chlorite concentrations. The distribution field displays no discernible trends. Most likely, these parameters are independent and reflect different sedimentary depositional environments.