Integrated Field-scale Production and Economic Evaluation under Subsurface Uncertainty for the Pattern-driven Development of Unconventional Resources

Author(s):  
Guohua Gao ◽  
Jeroen C. Vink ◽  
Faruk O. Alpak
2015 ◽  
Vol 19 (01) ◽  
pp. 118-129 ◽  
Author(s):  
Guohua Gao ◽  
Jeroen C. Vink ◽  
Faruk O. Alpak

Summary The in-situ upgrading process (IUP) is a thermal-recovery technique that relies on a pattern-based development process, a complicated physical process that involves thermal and mass transfer in porous media, which renders full field-scale reservoir simulations impractical. Although it is feasible to quantify the impact of subsurface uncertainties on recovery for small-scale sector models with experimental design (ED), it is still a very challenging problem to quantify their impact on field-scale quantities. Straightforward upscaling to field scale does not work because such conventional superposition-based methods do not capture the effects of spatial variability in rock and fluid properties and the time delay in sequential pattern development. In this paper, we show that, under certain mild assumptions, an analytical superposition formulation can be developed that propagates the uncertainties of production forecasts and economic evaluations generated from a sector model to full field-scale quantities. One can simplify this formulation further so that the variance of a field-scale quantity is analytically expressed as the variance of the same single-pattern quantity multiplied by a (computable) scaleup factor. This makes it possible to implement a practical uncertainty quantification work flow in which single-pattern results are upscaled to accurate full field results with reliable uncertainty ranges, without the need for full field-scale simulations. We apply the proposed novel superposition and uncertainty-propagation method to a multipattern IUP development, and demonstrate that this work flow produces reliable results for field-scale production and economics as well as realistic uncertainty ranges. Moreover, these results indicate that the scaleup factor for single-pattern results can accurately capture the impact of spatial correlations of subsurface uncertainties, the size of the field-scale model, the time-delay in pattern development, and the discount rate. Uncertainty quantification of field-scale production and economics is a key factor for the successful development of unconventional resources such as extraheavy oil and oil shale with significant rewards in terms of risk management and project profitability. With minor modifications, the proposed method can also be applied to other pattern-driven processes such as the in-situ conversion process (ICP) and steam-assisted gravity drainage.


2012 ◽  
Author(s):  
Akshay Sahni ◽  
Dale Beeson ◽  
David A. DiCarlo

2019 ◽  
Vol 21 (1) ◽  
pp. 1-6
Author(s):  
Fikri Aziz Shalahuddin ◽  
Sera Serinda Almekahdinah ◽  
Asep Bayu Dani Nandiyanto

The economic evaluation is one of the key points in building chemical industries. This paper presented a preliminary economic evaluation of the large scale production of zinc oxide (ZnO) nanoparticles using the sol-gel method, which is very useful for helping decision whether the fabrication of this material profitable or not. Particularly, the study was done by changing the cost of raw material, which was compared to several economic parameters such as GPM, PBP, and CNPV. The result showed that the project was profitable by increasing raw material cost below 100% from the estimated raw material cost, informing the fact for the prospective fabrication for fulfilling the demand of ZnO nanoparticles.


2019 ◽  
Vol 4 (1) ◽  
pp. 17
Author(s):  
Asep NANDIYANTO

Silver nanoparticles (Ag NPs) are the most frequently studied material with superiority as antibacterial that currently increasing the production of Ag NPs. Hence, feasibility study is needed for the development on the production of Ag NPs in industrial scale, especially in Indonesia and other developing countries. The chemical reduction with sodium citrate is used to produce Ag NPs. The purpose of this study is to analysis the prospect of large-scale industrial production in engineering perspective and economic evaluation. This study also gave recommendations for profitability of the production. Perspective of engineering in the production gave information about capability of large-scale production because the easy process and low-cost apparatuses of production can be done. Various economic parameters were used to completed the analysis. Then, the ideal condition to the worst issues of production was estimated to completed the calculation of economic evaluation by effects of raw materials. From this study, those all parameters gave positive result which mean it has good profitability. However, further analysis of strategies in sales and investment must be done in the future to developing the production of Ag NPs that promising in capability on large-scale production.


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