AimTo understand the work status of nurses in long‐term care institutions in China for elderly care to provide a reference for further formulating management strategies and promoting the development of long‐term care teams.MethodsUsing qualitative descriptive research methods, 31 nurses from three long‐term care institutions were selected through purposive sampling for in‐depth interviews, and a three‐week participatory observation was conducted on the daily work of nurses in the above three long‐term care institutions. Content analysis was used to analyse data.ResultsIn our sample, nurses in long‐term care institutions had insufficient manpower, generally had low academic qualifications, and lacked professional ability. Their work enthusiasm and initiative need to be further improved. Long‐term care nurses were moderately paid, and their salary satisfaction was lower than in other trades. At the same time, the social understanding of the long‐term care industry was insufficient, and the social identity of nurses in long‐term care institutions was low.ConclusionThe development of long‐term care requires the joint efforts of nurses, medical institutions, and society. By improving the system, cultivating talents and building a harmonious atmosphere, we aim to enhance the work enthusiasm of long‐term care nurses and promote the stable and orderly development of the long‐term care team.Implications for nursing managementNurses in long‐term care institutions are at the core of the ageing age and play a vital role in coping with the ageing problem, meeting long‐term care needs, improving the quality of life of old people and reducing the cost of long‐term care. The training and management of nurses in long‐term care institutions and the construction of the entire long‐term care system should be based on China's national conditions and actual needs.

AimThe aim of the study is to test a moderated mediation model that focuses on job resources mediating the relationship between organizational climate and nurse engagement in the long-term care facilities and emotional intelligence moderates this mediated relationship.BackgroundThe shortage of nurses is a global problem, especially in the long-term care facilities. We integrated and extended past research exploring the influence of nurse engagement and constructed a model of nurse engagement in the long-term care facilities.MethodA cross-sectional survey was conducted on 494 nurses in long-term care facilities. Nurses were asked to complete a survey of nurse engagement, organizational climate, job resources, and emotional intelligence.ResultsThe consequence demonstrated that organizational climate increased nurse engagement directly and indirectly via job resources. In addition, emotional intelligence plays a moderation role between organizational climate and job resources.ConclusionThese phenomena revealed that a good organizational climate and job resources enable nurses to be more engaged in work. Nurse with high-emotional intelligence can take advantage of resources and improve their engagement.

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TX 75083-3B36, U. S.A., fax 01-972-952-9435. Abstract Identification and distribution of natural fractures are important in development of oil and gas fields. On the basis of detailed observation and description of core fractures and their comparison with advanced imaging well-logging fractures, natural fractures can be distinguished from induced fractures. Due to conventional well-logging responses to the high conductivity of fractures, all kinds of fractures may be recognized. Lithology and lithologic association control on the distribution and behavior of natural fractures under concurrent structural settings, natural fracture distribution is indirectly predicted by searching for lithologic combination, which is implemented by seismic inversion under the control of welllogging quality. In addition, fracture distribution is forecasted by extracting fracture information from compressional wave data after excluding Iithologic factor.

Many low permeability fields with condensate gas and light oil having beendiscovered in the world range. But it is very difficult to distinguish gas andoil-bearing zones by well logging evaluation technology because of the smallresponse difference between the gas and oil in such oil fields. Consequantly, much more well tests have to be carried on which results in extra cost, andcertain terrible lost that can not be made up for may conducted by theimperfect strategy according to the wrong distingushing results sometimes. The"MCM" (Multiwell log Curve Micofaces) technology of distinguishing condensategas and light oil bearing zones in low permeability field is suggested in thispaper after the general theoretical analysis. The special technique of "MCM" isto determine the GOC (oil-gas contact) by individual well vertical correlationand multi-well comprehensive correlation based on optimizing conventional logcurve combination and investigating the micro-faces of these curves. All GOCwere accurately determined after the special technology was applied in a such atypical oil field in west of China and seventeen wells were interpreted, whichwere supported by all test and production data. The "MCM" technology played ainstructive role in the later development planning of the oil field, whichshows it has significant application prospect in the future. Introduction Though modern well logging technology goes ahead vigorourly and many kindsof imaging tools and interpretation software come into use throughout theworld, the solving of some problems is not apparently making good progress, such as the distinguishing of conensate gas and light oil bearing zones in lowpermeability reservoir still remains to be a hang-up place to the people. Suchzones are so difficult to distinguish because of:Low log response of gas and oilThe most log response comes from the rock matrix rather than the pore fluidbecause the matrix holds large proportion of the rock volume in the lowpermeability reservoir. Compared with that of the high permeability formation, the mud filtrate invasion in the low permeability one is relatively deepbecause it needs much more large range of the borehole formation to keep thesame pore volume for the filtrate when the mud cake appears during the courseof drilling, therefore the log response of gas and oil is further reduced.Small log response difference between the gas and oil The difference of the density between the condensate gas and the light oilin the reservoir condition because the condensate gas is heavier than the dryone as well as the light oil is lighter than the black one. Besides this, thechemical composition of the condensate gas and the light oil is much moresimilar to each other than the dry gas and black oil. Therefore the logresponse difference between the condendate gas and light oil decreases. For all these reasons as mentioned above, the satisfactory result can not beacquired when the methods are applied to distinguish the condcusate gas and thelight oil bearing zones in spite they are suitable for distinguishing those inthe normal situation. The MCM Distinguishing Technology Basic Theory The basic theory of the MCM technology is the same as that of the generalmethods of distinguishing gas and oil bearing zones. It makes good use of thelog response characteristics of gas bearing zones as follows:RT: RT increases. In general, the irreducible water saturation of gasbearing zone is lower than that of the oil bearing zone in the same reservoircondition, therefore the resistivity of gas bearing zone is comparativelyhigh.CN: CN decreases. The neutron porosity will decrease because of the lowerhydrogen index when there is certain gas content in the pore fluid of theformation.DEN: DEN decreases. The density log value will decrease for the lower porefluid density while pore fluid contents gas. Basic Theory The basic theory of the MCM technology is the same as that of the generalmethods of distinguishing gas and oil bearing zones. It makes good use of thelog response characteristics of gas bearing zones as follows:RT: RT increases. In general, the irreducible water saturation of gasbearing zone is lower than that of the oil bearing zone in the same reservoircondition, therefore the resistivity of gas bearing zone is comparativelyhigh.CN: CN decreases. The neutron porosity will decrease because of the lowerhydrogen index when there is certain gas content in the pore fluid of theformation.DEN: DEN decreases. The density log value will decrease for the lower porefluid density while pore fluid contents gas.