РОЛЬ ТЕКТОНО-ГИДРОТЕРМАЛЬНЫХ ПРОЦЕССОВ В ФОРМИРОВАНИИ ЗАЛЕЖЕЙ ГАЗА НА СЕВЕРЕ ЗАПАДНОЙ СИБИРИ

Conditions for the formation of oil and gas pools in Tertiary volcanics in the western part of the Huimin sag, Shandong and their distribution have been studied based on the geological, seismic and well‐logging information. In this paper, the types and lithofacies of the volcanic rocks in the western part of the Huimin sag are described; the relationship between rocks and electrical properties, the seismic reflection structures, the development and distribution of the volcanic rocks are expounded; and the fourfold role of the volcanic activities in the formation of the oil and gas pools is also dealt with. It is considered by the authors that the volcanic activities were not destructive to the formation of oil and gas pools but a factor favourable to the accumulation of organic matters and their conversion to hydrocarbon. The volcanic rocks might have served as reservoir rocks and cap rocks, or as a synsedimentary anticline. The prerequisites and important factors for the formation of oil and gas pools and their distribution are pointed out in the paper.

Evolution of a basin implies interaction of two general processes: the process of crust collapse with regeneration of geosyncline belts, and the process of cratonization of the crust. The process of geosyncline belt regeneration with partial displacement across the area occurred three times in western Siberia. The first displacement is dated as long as 1.6 Ga, the second one took place at 650 Ma, and the third at 500 Ma. There were three cratonizations of the first rank: 680 Ma, 520 Ma, and 250 Ma. The last, Hercynian, cratonization has been more intensive in the southern part of the region and has resulted in Triassic-Middle Jurassic taphrogenesis on the background of arched uplifts. Organic-matter transformation and formation of oil and gas pools repeated in the Paleozoic and Mesozoic. In the Cenozoic, the formation of oil and gas pools took place only locally. The process intensity varied depending on the basin geodynamics and geothermal regime. This caused a considerable range of oil and gas interval and resources in different regions. The distribution of hydrocarbon pools is of regular character only in separate oil- and gas-bearing complexes, except the secondary pools which are confined to Paleozoic basement weathered rocks occurring in allmore » areas of the petroliferous basin. The largest hydrocarbon pools of Lower Jurassic deposits are more common in the western regions, and pools of Upper Jurassic deposits occur in the eastern ones.« less

The commercial oil and gas pools are on crests of closed anticlines and domes except in the General Petroleum field, where oil is found in variable shaly sandstone beds on a pitching anticline without structural closure. The oil sand of the G. P. field (G. P. sand) is not productive elsewhere even on closed structures. Commercial oil is found in the Mowry shale on the crests of the three sharpest folds-Little Lost Soldier, Wertz, and Ferris. It is not found in the Mowry shale on the gentler folds or elsewhere. Seemingly the maximum fracturing and other mechanical effects peculiar to the crests of sharp flexures are necessary to the formation of the shale oil pools or pockets. The productivity of the structures, other factors being equal, is in close relation to the extent to which they are fractured and faulted. Burial of the productive sand beneath a great thickness of shale is equivalent to diminution in faulting, since the faults may be sealed or may not persist to great depths. The more numerous and open the faults, the greater the tendency toward an oil pool or to barrenness through more or less complete leakage. The fewer and tighter the faults, the greater the tendency toward a gas pool or to barrenness through lack of migration and accumulation. With the Lost Soldier and many other oil and gas fields of the Rocky Mountain region as confirmatory evidence, it may be said that, in the post-Paleozoic strata of the region (i) water in an upper sand is not indicative of what is to be expected in lower sands, whether oil, water, or gas; (2) gas, as the predominant product in an upper sand, means that lower sands may be expected to be primarily gas sands; and (3) oil, as the predominant product in an upper sand, indicates that lower sands are likely to be primarily oil sands.13J. S. Irwin, “Faulting in the Rocky Mountain Region,” Bulletin Amer. Assoc. Petrol. Geol, Vol. 10 (1926), pp. 127-28.

Structural superimposition and conjunction and its effects on hydrocarbon accumulation in the Western Sichuan Depression

Abstract: In this growing age of Internet of Health (IoH), with rapidly going Web and Internet services more and more organization national and world-wide transferring data and information both personal and professional on cloud, our traditional health and medical services are also migrating and transforming in a new age mod- ern healthcare system. Thus, having a large amountof available medical data regarding doctors, patients, medical infrastructures, medicine, treatment plans andprocedures and so on. This information is often very help full in medical care services and in preventing many health disasters by providing right data at right time. But this comes with a very challenging task of carefully integrating the sensitive data, and making sure of user privacy in not disclosed while doing this. In these papers we are analyzing various works done on this problem and trying to come up with a suitable and possible solution, for a better health care services a multi-source data integration and mining method for medical data, named as PDFM (Privacy-free Data Fu- sion and Mining), to search for similar medical records in privacypreserving and time-efficient manner. In this paper we are reviewing as many as research mythologies as we can, to understand the how the tech- nology is changing our healthcare services, and how IoH is being used to save patient life as well as mentining their privacy.

With the rapid development of information technology, the growth of heterogeneous Web data and the requirements of access to the Web of data also is growing. In view of this, a method of heterogeneous data integration based on SOA(Service-Oriented Architecture) is proposed. This method combines the technology of middleware and SOA design, using XML and Web services technologies, presents a framework of heterogeneous data integration based on SOA, and introduces the architecture of SOA data integration middleware. Experimental results show that this method reduces the coupling of heterogeneous data integration system effectively, and improves the scalability of the system.

Oil and gas pools: the fundamentals of formation, prospecting, and exploitation

The formation conditions and distribution regularities of oil-gas pools in volcanic rocks in western Huimin Depression have been studied in terms of geologic, seismic and well logging information. This paper discusses the types and lithofacies, development and distribution of Tertiary volcanic rocks in the area. The results demonstrate that volcanic activity occurred mainly during the period from the Sha-4 stage to the Guantao episode, i.e., before the oil-generating period (before the end of the Guantao episode and the Minghuazhen episode). The activity did not destroy oil and gas formation and accumulation, but was favourable for the concentration of organic matter and its conversion to hydrocarbons; besides, volcanic rocks can serve as reservoir rocks and cap rocks, playing a role very similar to that of a syndepositional anticline. The volcanic rocks are distributed near the margins of the oil-generating depression; there are many secondary interstices in the rocks, which are connected with each other. These are the leading conditions for the formation of oil-gas pools in volcanic rocks. The formation of volcanic rocks in high structural levels before the main oil-generating period and their self-sealing or good combination with other cap rocks are important factors for forming volcanic rock-hosted oil and gas pools. The oil-gas pools associated with volcanic rocks in western Huimin are mainly distributed around the deep oil-generating depression, in the central uplift or the high structural levels on the margins of the depression. In particular, the sites where several faults cross are usually locatons where high-yielding oil-gas pools in volcanic rocks are concentrated.

Abstract: Types of polymerized molecular network structure and degree of bond breakdown for glass phases of magmatic inclusions and glassy matrix in volcanic rocks from the Shengli oilfield have been defined by the laser Raman spectroscopic investigation. There are significant differences in types of polymerized molecular network structure and degree of bond breakdown of the magmatic glass phases between the non‐CO2 and CO2 gas pools: magmatic glass phases of fluid inclusions and matrix in volcanic rocks from the CO2 gas pool contain more sheet network molecules and have a greater degree of bond beakdown than those from the non‐CO2 gas pool; and when gas bubbles occur in evolving magma, magma saturated with volatile components has more sheet network molecules. The results suggest the magmadegassing mechanism of the formation of CO2 gas pools in the Shengli oilfield.

This study systematically and experimentally evaluates data integration methods for the isotopic analysis of Pb at ultratrace levels using thermal ionization mass spectrometry (TIMS) with a continuous heating method. The evaluation utilized a certified reference material of Pb (SRM 981). The experimental evaluations encompass different data calculation methods (methods I, II, and III) and integration ranges (full, over 1%, 25%, and 75%). Method I, in which isotope ratios were calculated based on summed ion signal intensities compensating for mass fractionation, was consistent with the certified values for 10 and 1 ng standard samples across all integration ranges. For 100 pg samples, full range calculations failed for specific isotope ratios, but reduced ranges (over 1%, 25%, and 75%) yielded values overlapping with certified ones. Method II, in which isotope ratios were calculated by averaging the precalculated isotope ratios, exhibited inferior performance compared to method I. Method III, using weighted averaging to reduce anomalous values, showed results consistent with those of method I but was recommended only for single measurements. An integration range of over 1% or 25% is preferred to exclude anomalies while compensating for mass fractionation. The optimized method was validated by comparing two different instruments used for the isotopic analysis of the reference material. The enhanced accuracy and precision provide valuable insights for researchers working in ultratrace-level Pb isotopic analysis using TIMS.

Cross-species single-cell RNA-seq data hold immense potential for unraveling cell type evolution and transferring knowledge between well-explored and less-studied species. However, challenges arise from interspecific genetic variation, batch effects stemming from experimental discrepancies and inherent individual biological differences. Here, we benchmarked nine data-integration methods across 20 species, encompassing 4.7 million cells, spanning eight phyla and the entire animal taxonomic hierarchy. Our evaluation reveals notable differences between the methods in removing batch effects and preserving biological variance across taxonomic distances. Methods that effectively leverage gene sequence information capture underlying biological variances, while generative model-based approaches excel in batch effect removal. SATURN demonstrates robust performance across diverse taxonomic levels, from cross-genus to cross-phylum, emphasizing its versatility. SAMap excels in integrating species beyond the cross-family level, especially for atlas-level cross-species integration, while scGen shines within or below the cross-class hierarchy. As a result, our analysis offers recommendations and guidelines for selecting suitable integration methods, enhancing cross-species single-cell RNA-seq analyses and advancing algorithm development.

In this study, we give some strategies for selecting the data source and several methods for data integration after analyzing the problems of sharing information resources among universities. According to the characteristics of various types of information resources in the university website, we propose the data integration framework model which combines virtual view method with data warehouse method.

<h3>ABSTRACT</h3> Data-integration techniques can be useful tools as marketers continue to improve overall efficiency and return on investment. This is true because of the value of the techniques themselves and also because the current advertising market, based on demographic buying, has major opportunities for arbitrage in the range of 10 percent to 25 percent (where in that range depends on the nature of the vertical). The current study reviews different methods of data integration in pursuing such negotiations.

In this chapter we review current approaches to store, retrieve and integrate diverse protein interaction data. To incorporate the heterogeneous results of computational predictions and protein interaction experiments, methods of data integration have been widely used which provide efficient presentation, and analysis of interaction data. Among them statistical meta-analysis and supervised machine learning methods are becoming very popular in this respect. While integration methods reduce complexity of system representation, the databases provide efficient storage and retrieval of data. A large variety of interaction databases exist which differ in scope, type and coverage of data as well as query search capabilities. We categorize the databases of protein interactions into comprehensive, specialized, structural and databases developed for network analysis. This gives a rough grouping of resources based on how they might be used. In particular, one might often start with a comprehensive database search and afterwards perform a refined search of the obtained results using a database with a more specific focus.KeywordsProtein PairPhylogenetic ProfileInteraction DatabaseDomain PairNetwork AlignmentThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Chapter Twenty-Eight - Recent advances in computational-based approaches in epigenetics studies