Accurate forecasting of condensate well deliverability usually requires good knowledge of the gas condensate vapor – liquid properties. Condensate well deliverability is particularly important as it impacts downstream issues such as the number of wells required, surface gas handling facilities, drilling schedules and income from gas sales contracts. A new approach for forecasting viability of gas condensate wells and calculating condensate gas ratio (CGR), using simpler techniques is presented. The calculation uses a volumetric balance model for reservoir system, standardized and modified correlations, equation of state and a vapor-liquid equilibrium technique. The technique has been extended to include mass transfer and also to allow for the changes in produced fluid composition due to the formation of the condensate bank. The approach will provide a useful tool for rapid forecasts of condensate well performance, for examining the effects of condensate blockage in different well types or for studying sensitivities. It is also valuable where simple models of condensate reservoir performance are required for use in integrated studies.
This research involves measuring maintenance productivity and seeks to measure how maintenance of equipment affects the overall productivity of the company. The Stewart Utility Concept was used along with a scaling factor. Performance measures were identified and their values were obtained. Five productivity ratios were employed to obtain the overall maintenance productivity. Results from the graphs showed that Equipment Availability was 78.32%; Emergency Failure Intensity Ratio was 28.4%; Maintenance Cost Component was 32.39/btl; Cost of Maintenance hour was N125, 081/hr; Routine Service Worked was 92.03% and Cost of Reduction was 5.32hr/N. The overall maintenance productivity of the period under review was fairly good though there is room for improvement. Average overall maintenance productivity was found to be 63.2%. This is an indication that there were evaluations and review of maintenance productivity within the period.
Multi-item, multi-period production systems are prevalent in traditional production and distribution settings. A dynamic lot size production scheduling model (DLSPM) for multi-Production/inventory item multi-period production system with parallel machines is proposed in this paper. A mathematical framework that extends the DLSPM to multi-Production/inventory item-multi-period production planning constrained by storage space was built. The criteria of DLSPM explore optimal production schedule with the constraints of inventory, backlogs, production and demand to minimize the total inventory costs over finite planning horizon. Demand analogous to a typical production environment considered includes dynamic deterministic and fuzzy demand. The model was tested with both deterministic and fuzzy demand spread over ten years, for five equal planning periods, with a two Production/inventory item and two parallel machine test bed. From the various demand types, several iterations (sub problems) were generated and optimality condition was then verified. To capture the imprecision that is often inherent in the estimated future demand, demand was specified by fuzzy numbers and modeled using the triangular membership function distribution. Centre of gravity defuzzification scheme was used within finite intervals to obtain defuzzified demand. Tora Operations Research software was used to run the model using a test problem. Computational results vindicate the robustness and flexibility of the approach based on the quality of the solutions obtained.
Aims/BackgroundNear Me is a tele-psychiatry platform for conducting video consultation appointment in Child and Adolescent Mental Health Services (CAMHS) in NHS Orkney (NHSO). This model of consultation was introduced in NHSO CAMHS during the COVID-19 pandemic. The performance in offering effective clinical intervention in the domains of quality of care will determined through the experiences of both users and providers of care in this respect.To assess the perception and experiences of service users (clinicians, patients and their families) on the use of Near Me in NHS Orkney Child and Adolescent Mental Health Services by applying the domains of quality of care as a measure. To enable all stakeholders (policy planners, users and providers) to identify gaps and barriers in the use of Near Me and to inform change in practice.MethodsA survey was developed using the Telehealth Usability Questionnaire which is a validated tool to generate responses on the key domains of quality of care measures of appropriateness, reliability, access, timeliness, usefulness, effectiveness, interaction, quality, efficiency, safety, satisfaction and possibility of future use for both users and providers of care.The survey was made available on social media platforms including websites and online adverts for clinicians, patients and their families in Orkney to complete for a period for 10 weeks.Results28 responses were received with 14 completed responses (6 staffs & 8 patients and families) and 14 uncompleted responses (4 staffs and 10 patients & families).A mean rank test was applied to appropriately evaluate the responses received.Over 50% of respondents show high level of satisfaction in the use of tele-psychiatry services in all domains of quality of care in Orkney NHS CAMHS.Access, timeliness and safety are highly positively rated by both clinicians and service users.Improvement in network connections, improved coordination and understanding of technology will enhance the service.Better understanding of the handling of technical problems in tele-psychiatry services should be addressedReduction of in-person interactions was identified by some respondents as concern.Conclusion/recommendationTele-psychiatry is highly useful and accepted as revealed by the survey but network connections for the Near me platform needs to be improved. Face to face consultations should not be discounted and should be available where possible for better engagement.As the first survey of the use of tele-psychiatry in NHS Orkney, this study will serve to establish a baseline for future evaluation of tele psychiatry services in NHS Orkney CAMHS.
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