Concept of Integrated Waste Management as Recoverable Resources in Product Cycle

This paper presents a conceptual framework of integrated waste management which focuses on all stages of product life cycle. A mechanism of resource recovery motivating from waste in economic system （designers, producers, consumers, stakeholders in the field of disposal of the product） is suggested. The classification of institutional and economic instruments in the field of waste management as recoverable resources is developed. The author has proposed a scientific and methodical approach to the formation of an integrated waste management as recoverable resources, which is based on a set of methods of economic incentives at all stages of product life cycle and ensures the maximum possible and the environmentally safe management of wastes containing valuable resource components.

Analysis of groundwater recoverable resource by numerical method in Linfen Basin of Shanxi,North China

Calculation of the groundwater recoverable resource is the main part of groundwater resource evaluation. The three-dimensional groundwater flow model in Linfen Basin was established by GMS software. Then the numerical model was calibrated by observed groundwater level from February to December in 2 000. Based on the calibrated model, the groundwater recoverable resource is calculated. The simulation result shows that under the given value of the groundwater recoverable resource, the groundwater level would decrease significantly in the first 1 000 days, while the water level would drop slowly in 1 000 to 2 000 days, and the water level change tend to be stable after 2000 days.

Distribution and resource evaluation of natural gas hydrate in South China sea by combing phase equilibrium mechanism and volumetric method

China Geological Survey conducted the second trial production of natural gas hydrate(NGH)in the Shenhu Area in South China Sea(SCS)from 2019 to 2020.Compared with the first trial production in 2017,the second trial showed significantly increased daily gas production and total gas production,and removed some technical obstacles for large-scale NGH resource developments in the SCS.However,current NGH resource evaluation in the SCS is still at the stage of prospective gas content assessment,which is unable to guide further NGH exploration and development.This study utilized the hydrate phase balance to delineate the NGH distribution range and effective thickness and volumetric method to evaluate NGH resource.Based on the latest exploration and production data from the Shenhu Area,Monte Carlo simulation was performed to calculate the NGH resource amount with different probabilities.By assuming a 50%cumulative probability,the in-situ NGH resources in the SCS was estimated to be11.7×10^(12)m^(3) and the recoverable NGH resources was 2.8×10^(12)m^(3).These results will provide a more reliable resource basis for China to formulate comprehensive development strategies for oil and gas exploration in the SCS.

Effects of Insufficient Investment and Overproduction on Iran＇s Oil Production Trend

This paper, using multiple-Hubbert model, forecasts oil production trend of Iran with special focus on Iran＇s insufficient investment for developing recently discovered oilfields and overproduction from mature oilfields. This is mostly due to Iran＇s political and technical limitations to carry out oil and gas projects. The trend of Iran＇s oil production has been forecasted based on a multi-cycle modified Hubbert. Three different scenarios have been assumed. In the first scenario, it is assumed that Iran does not have any limitations to carry out oil and gas projects and develop its oilfields. International sanctions and lack of foreign investment have been taken into account in the second scenario. Overproduction from currently producing mature oilfields and its effect on production trend is investigated in the third scenario. The most important parameter to forecast oil production trend is URR （ultimate recoverable resource）. URR of Iran has been estimated by parabolic fractal curve. Here, based on the plotted parabolic fractal curve for the oil fields, amount of URR of Iran has been calculated that is around 200 Gb. First scenario has two peaks while the second and third scenarios have three peaks. All of the scenarios have forecasted Iran＇s first peak in 1975 at annual production rate of 2 Gb/Year. Based on first scenario, Iran＇s second peak will occur in 2029 at 2.334 Gb/Year. Second scenario has forecasted Iran＇s second and third peaks in 2011 at 1.575 Gb/Year and in 2064 at 2.205 Gb/Year respectively, and third scenario＇s peaks have been estimated to occur in 2011 at 1.573 Gb/Year and in 2061 at 2.030 Gb/Year.