Tectonic
fractures are the key factors affecting hydrocarbon migration
and accumulation in ultradeep marine carbonate gas reservoirs. Taking
the Maokou Formation in the Jiulongshan Gas Field as an example, tectonic
fracture formation and distribution are quantitatively characterized
by the outcrops, cores, Fullbore Formation MicroImager (FMI) imaging
logging, acoustic emission experiments, fluid inclusion experiments,
and burial–thermal evolution history analysis. The formation
stage of the tectonic fractures in the study area can generally be
divided into three stages: the Indosinian stage, the early middle
Yanshanian stage, and the late Yanshanian–Himalayan stage.
The key stages are the early middle Yanshanian stage and the late
Yanshanian–Himalayan stage. According to the theory of tectonic
geomechanics, the evolution pattern of different stages of tectonic
fractures and faults in the Maokou Formation is established. The finite
element method was used to simulate the three-dimensional paleotectonic
stress field during the key stages of fracture formation, and a rock
failure criterion (η) was used to quantitatively predict the
development and distribution of the tectonic fracture. In the early
middle Yanshanian stage, the fracture degree was relatively small,
and the highly fractured areas were mainly concentrated in the areas
near the northern fault zone and the high part of the anticline, with
the highest rock failure proximity of 1.118. In the late Yanshanian–early
Himalayan stage, the highly fractured areas are distributed in the
northeast and northwest, near the E–W fault rupture zone, the
high parts of the Jiulongshan and Tadongping areas, and the local
tectonic high parts. The degree of rock failure mainly concentrated
between 0.890 and 1.127. There is a good positive correlation between
the fracture density and the degree of rock failure.
In recent years, the shale gas in the southern Sichuan Basin has achieved great commercial development, and the Silurian Longmaxi Formation is the main development stratum. In order to solve the problems of great difference production and inaccurate gas content of the Longmaxi Formation shale gas field in the southern Sichuan Basin, based on thin section identification, argon ion polishing-field emission scanning electron microscopy, high pressure mercury injection, low temperature nitrogen adsorption and the fractal method, the micropore structural heterogeneity of the siliceous shale reservoir of the Longmaxi Formation has been studied. The results show the following: The pores of siliceous shale are mainly intergranular pores and organic pores. Image analysis shows that there are obvious differences in size and distribution of shale pores among different types. The micropore structural heterogeneity is as follows: intragranular pore > intergranular pore > organic pore. In the paper, the combination of low temperature nitrogen adsorption method and high-pressure mercury injection method is proposed to characterize the micropore size distribution and fractal dimension, which ensures the credibility of pore heterogeneity. The shale pores are mainly composed of mesopores (2–20 nm), followed by macropores (100–300 nm). For different pore sizes, the fractal dimension from large to small is mesopore, micropore and macropore. Shale pore structure and fractal dimension are correlated with mineral composition and total organic carbon (TOC) content, but the correlation is significantly different in different areas, being mainly controlled by the sedimentary environment and diagenesis.
Accumulating evidence has suggested that microRNAs (miRNAs) may play potential role as ideal diagnostic indicators of esophageal squamous cell carcinoma (ESCC). However, previous studies have met discrepant results. Thus, we conducted this meta-analysis to assess the potential diagnostic value of miRNAs for ESCC. A systematic literature search was conducted in PubMed and other databases. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated to evaluate the overall test performance. The Q statistic and the I(2) test were used to assess between-study heterogeneity. The potential sources of heterogeneity were further analyzed by subgroup analyses and meta-regression. Seventeen studies from eight articles, including 995 ESCC patients and 733 healthy controls, were included in this meta-analysis. The pooled SEN and SPE were 0.81 (95% confidence interval (CI) 0.76-0.85) and 0.83 (95 % CI 0.76-0.88), respectively. The pooled PLR was 4.6 (95% CI 3.3-6.5), NLR was 0.23 (95% CI 0.19-0.29), and DOR was 20 (95% CI 13-31). The pooled AUC was 0.91 (95% CI 0.88-0.93). Subgroup analyses indicated that blood-based miRNA assay displays better diagnostic accuracy than saliva-based miRNA assay. In summary, miRNA analysis may serve as novel noninvasive biomarkers for ESCC with excellent diagnostic characteristic. In addition, subgroup analysis suggested that blood-based assay yields better diagnostic characteristics than saliva-based assay. However, many issues should be managed before these findings can be translated into a clinically useful detection method for ESCC.
The complex structure and surface property of porous media have significant impact on its accumulation and adsorption capacity. Based on the fractal theory, this paper presents a fractal pore structure model for shales. The effect of different pore structures on fractal dimension is discussed, and the influence of fractal dimension and pore size distribution on porosity is also analyzed. It is shown that the fractal dimension D decreases with the increase of structure parameter q/m for a certain pore diameter ratio, and porosity has positive relationship with fractal dimension. This paper also presents a multilayer fractal adsorption model which takes into account the roughness of adsorption surface by using fractal theory. With the introduction of pseudo-saturated vapor pressure in the supercritical temperature condition, the proposed adsorption model can be applied into a wider range of temperature. Based on the low-pressure nitrogen adsorption and methane isothermal adsorption experiments, the effect of fractal dimension on the adsorption behavior of shales is discussed. Fractal dimension has significant impact on the surface adsorption property and adsorption layer number n. The monolayer saturated adsorption volume Vm increases with the increase of D, while parameter C has the opposite variation trend. Finally, the optimal combination of fractal parameters for describing pore structure of shale samples is selected.
Experimental results indicated that the dielectric properties were significantly different between normal and malignant tissues for colorectal tissue. This large-scale clinical measurement provides more subtle base data to validate the technique of MR electrical property tomography.
The tight sandstone reservoirs of the Permian Shihezi and Shanxi Formation with strong heterogeneity constitute the main producing zone of the eastern Sulige gas field. The process of differential densification results in various reservoir qualities. Mineral composition, structural characteristic, pore system, and diagenesis were investigated with analyses of well logs, thin sections, porosity, and horizontal permeability of the core plugs; environmental scanning electron microscopy (ESEM); nuclear magnetic resonance (NMR); X-ray computed tomography (X-CT); and fluid inclusion homogenization temperature. The results show that lithic sandstone reservoirs experienced complex and various diagenetic evolutions. Eight types of densification modes can be divided according to the diagenesis paths; these modes represent lithofacies with different densification times and reservoir qualities. Intense mechanical compaction is the main reason for the formation of lithofacies 1, 2, and 5. Lithofacies 4, 6, and 7 formed due to intense cementation, increasing the impermeability of the diagenetic system. The primary pore space in lithofacies 3 is preserved due to the overpressure and chlorite coatings. The dissolution and weak cementation of lithofacies 8 contribute to reservoir development. The middle-lower part of braided channel lags and channel bars, the middle part of meandering riverbed lags, and the middle part of point bars are favourable for reservoir development.
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