A new production component method for natural gas development planning

Based on an analysis of the limitations of conventional production component methods for natural gas development planning,this study proposes a new one that uses life cycle models for the trend fitting and prediction of production.In this new method,the annual production of old and new wells is predicted by year first and then is summed up to yield the production for the planning period.It shows that the changes in the production of old wells in old blocks can be fitted and predicted using the vapor pressure model(VPM),with precision of 80%e95%,which is 6.6%e13.2%higher than that of other life cycle models.Furthermore,a new production prediction process and method for new wells have been established based on this life cycle model to predict the production of medium-to-shallow gas reservoirs in western Sichuan Basin,with predication error of production rate in 2021 and 2022 being 6%and 3%respectively.The new method can be used to guide the medium-and long-term planning or annual scheme preparation for gas development.It is also applicable to planning for large single gas blocks that require continuous infill drilling and adjustment to improve gas recovery.

Study on the Coordination Mechanism Between Higher Vocational Students’Career Development Planning and School Management

The coordination mechanism between the career development planning of vocational students and the management of vocational colleges is an important means to improve the quality of education and students’vocational competitiveness.The application of synergy theory in the field of education emphasizes the interaction and coordination of various elements in the system and pursues the optimization of overall efficiency.Based on the theory of coordination and its relevance to the management of higher vocational colleges,this paper analyzes the current development status and problems of the coordination mechanism and puts forward the strategy of building an efficient coordination mechanism designed to enhance the students’employment competitiveness,promote the all-round development,and provide theoretical and practical support for the reform and development of higher vocational education.

Machine learning inspired workflow to revise field development plan under uncertainty

We present an efficient and risk-informed closed-loop field development (CLFD) workflow for recurrently revising the field development plan (FDP) using the accrued information. To make the process practical, we integrated multiple concepts of machine learning, an intelligent selection process to discard the worst FDP options and a growing set of representative reservoir models. These concepts were combined and used with a cluster-based learning and evolution optimizer to efficiently explore the search space of decision variables. Unlike previous studies, we also added the execution time of the CLFD workflow and worked with more realistic timelines to confirm the utility of a CLFD workflow. To appreciate the importance of data assimilation and new well-logs in a CLFD workflow, we carried out researches at rigorous conditions without a reduction in uncertainty attributes. The proposed CLFD workflow was implemented on a benchmark analogous to a giant field with extensively time-consuming simulation models. The results underscore that an ensemble with as few as 100 scenarios was sufficient to gauge the geological uncertainty, despite working with a giant field with highly heterogeneous characteristics. It is demonstrated that the CLFD workflow can improve the efficiency by over 85% compared to the previously validated workflow. Finally, we present some acute insights and problems related to data assimilation for the practical application of a CLFD workflow.

The Multi-Scale Numerical Modeling System for Research on the Relationship between Urban Planning and Meteorological Environment

Considering the urban characteristics, a customized multi-scale numerical modeling system is established to simulate the urban meteorological environment. The system mainly involves three spatial scales: the urban scale, urban sub-domain scale, and single to few buildings scale. In it, different underlying surface types are employed, the building drag factor is used to replace its roughness in the influence on the urban wind field, the effects of building distribution, azimuth and screening of shortwave radiation are added, and the influence of anthropogenic heating is also taken into account. All the numerical tests indicate that the simulated results are reasonably in agreement with the observational data, so the system can be used to simulate the urban meteorological environment. Making use of it, the characteristics of the meteorological environment from the urban to urban sub-domain scales, even the among-buildings scale, can be recognized. As long as the urban planning scheme is given, the corresponding simulated results can be obtained so as to meet the need of optimizing urban planning.

Urban Densification Strategy and Land Value in Tijuana,Baja California-The Opinion of Specialists

Specialists can provide opinions regarding the city and land value based on their specialized field.Professionals in these fields are identified as urban planners and valuators,who play a crucial role in the current dynamics of cities.They have a qualified opinion on city issues based on their professional practice in various areas of expertise.This opinion was obtained through the formulation and application of a questionnaire to specialists.Subsequently,the results were analyzed and graphically represented.In the discussion,several findings were found related to the relationship between land value and the urban densification policy established in the urban planning that governs the city of Tijuana,Baja California.The study investigated the behavior of the real estate market in the region and the establishment of a solid strategy toward densification.

Basic thoughts and practice of China's regional development planning in new period

Regional development planning is one of the 'hot spots' in the field of human geography in China Based on brief retrospection and reviewing of its development since the 1980s, this paper discusses the basic thoughts of regional development planning under the socialit market economy, i.e.,to work out planning of flexibility, sustainability, multi-objective coordination and high effective practicability. In line with these thoughts, the paper puts forwards boo countermeasure in the practice of working out a high effective regional developmed planning. These countermeasures are to strengthen research on market factors, to take the coordinated development between the economy,society and PRED as the main line of regional development to correctly deal with the relationship between qualitative analysis and quantitative research and to emphasize on researches of regional policies.

T21 China 2050: A Tool for National Sustainable Development Planning

The Sustainable Development Goals(SDGs)of the United Nations 2030 Agenda are a key focus for implementing the Sustainable Development(SD)concept.But generally speaking,SD goals and targets are continuously evolving,country specific,complex to implement,and are often given relatively short time horizons,such as the 15-year horizon for the SDGs.Many SD issues need a much longer time horizon as the policy interventions to deal with these issues can take decades before their effects become apparent,which is especially true for China.The T21 China 2050 is developed to study the long-term SD challenges and opportunities of the country.In its business-as-usual simulation to 2050,T21 China 2050 reveals some of the sustainability challenges facing China,including 1)aging population and labor force decline,2)huge food imports,3)land degradation and loss of arable land,4)water shortages,5)huge fossil fuel imports,and 6)carbon dioxide emissions.These SD issues are a subset of the SDGs specifically relevant to China over a time horizon well beyond 2030.The model is then used to test possible policy interventions in these six areas under two separate scenarios:Balanced and Narrowly Focused.The major results from these two scenarios are compared with those of the business-as-usual scenario.The simulations show that by adopting certain policy measures,China’s path towards SD can be further improved.It also shows that a variety of policy measures can be selected and tested with the T21 China 2050 model for exploring the future SD prospects of the country.Specific policies recommended include:extension of retirement age,adjustment of the current family planning policy,protection of agriculture land,promotion of agricultural R&D to raise yield,improvement of public transportation to slow private vehicle ownership,increased investment in renewable energy,and water conservation.

TEDA(Tianjin Economic-technological Development Area)——A General Survey, Experience and the Plan for Future Development.

Since its establishment about ten years ago, TEDA has taken advantage of eachopportune time created by China’s policy of opening wider and wider to the outsideworld and the rapid economic growth to deepen its reform and extend its exploitation,and thus has maintained a favorable momentum and an extraordinary high speed foreconomic development. With the total economic output of the whole area raised to

A deep reinforcement learning method for multi-stage equipment development planning in uncertain environments

Equipment development planning(EDP)is usually a long-term process often performed in an environment with high uncertainty.The traditional multi-stage dynamic programming cannot cope with this kind of uncertainty with unpredictable situations.To deal with this problem,a multi-stage EDP model based on a deep reinforcement learning(DRL)algorithm is proposed to respond quickly to any environmental changes within a reasonable range.Firstly,the basic problem of multi-stage EDP is described,and a mathematical planning model is constructed.Then,for two kinds of uncertainties(future capabi lity requirements and the amount of investment in each stage),a corresponding DRL framework is designed to define the environment,state,action,and reward function for multi-stage EDP.After that,the dueling deep Q-network(Dueling DQN)algorithm is used to solve the multi-stage EDP to generate an approximately optimal multi-stage equipment development scheme.Finally,a case of ten kinds of equipment in 100 possible environments,which are randomly generated,is used to test the feasibility and effectiveness of the proposed models.The results show that the algorithm can respond instantaneously in any state of the multistage EDP environment and unlike traditional algorithms,the algorithm does not need to re-optimize the problem for any change in the environment.In addition,the algorithm can flexibly adjust at subsequent planning stages in the event of a change to the equipment capability requirements to adapt to the new requirements.

Underground space planning in Helsinki

This paper gives insight into the use of underground space in Helsinki,Finland.The city has an underground master plan(UMP) for its whole municipal area,not only for certain parts of the city.Further,the decision-making history of the UMP is described step-by-step.Some examples of underground space use in other cities are also given.The focus of this paper is on the sustainability issues related to urban underground space use,including its contribution to an environmentally sustainable and aesthetically acceptable landscape,anticipated structural longevity and maintaining the opportunity for urban development by future generations.Underground planning enhances overall safety and economy efficiency.The need for underground space use in city areas has grown rapidly since the 21 st century;at the same time,the necessity to control construction work has also increased.The UMP of Helsinki reserves designated space for public and private utilities in various underground areas of bedrock over the long term.The plan also provides the framework for managing and controlling the city’s underground construction work and allows suitable locations to be allocated for underground facilities.Tampere,the third most populated city in Finland and the biggest inland city in the Nordic countries,is also a good example of a city that is taking steps to utilise underground resources.Oulu,the capital city of northern Finland,has also started to ‘go underground’.An example of the possibility to combine two cities by an 80-km subsea tunnel is also discussed.A new fixed link would generate huge potential for the capital areas of Finland and Estonia to become a real Helsinki-Tallinn twin city.

Overall Planning of Development of Urban-Rural Areas:A Policy Mechanism for Urban-Rural Coordinated Growth

While analyzing overall planning and coordinated development of urban-rural areas, this paper shows that overall planning for the development of urban-rural areas is a requirement for the best use of productive forces. It means the setting up of a policy mechanism for coordinated growth. Recognizing this, the government should set up a way to lead and manage a unified program to increase service and decrease controlling administration power, while safeguarding and fulfilling the farmers' ownership to the means of production.

Western China Development During 13th Five-Year Plan Period:Poverty Alleviation and Green Development

The 12th Annual Conference of the Consortium for Western China Development Studies July,2017Gui-An New District,CHINABackground Since its establishment in 2004,the Consortium for Western China Development Studies(CWCDS)has organized nine conferences on vari-

China's Biotechnology Development Program during the Tenth Five-Year Plan Period (2001-2005)

Bioengineering TechnoIogy(Ⅰ)1. Crop molecular marker-assisted selection and pyramiding breeding technology2. Super hybrid

The Department of Social Development of the State Planning Commission

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