2 research outputs found
Price Risk For Coal Liquefaction in Moderate Scale Development
No full textAccording to Talla et al,2017 the Linde Hampson Method can be used to process solid changes into liquid. In this study aims to calculate the Linde Hampson method in the temperature range of the Fischer Tropsch method (LTFT /Low temperature fischer tropsch). The temperatures used for comparison include low temperatures of 200 to 250 oC. Parameters compared from the four type of coal namely lignite, antrachitre, bituminous and subbituminous are tested with projects on a moderate scale of 100 – 1000 tons. Analysis of Price risk is carried out to see the trend of change (increase/decrease) in the price of selling syngas. Price can change because of supply and demand. The main factor that can change price is quantity and quality of heat (HHV) and composition. Development of subbituminous can have higher risk than the antrachite type. Based on the calculation of the standard deviation of the risk values obtained from the four types is 25,3$
Perkiraan Laju Penetrasi Pengeboran Sumur Panas Bumi Menggunakan Adaptive NeuroFuzzy Inference System
No full textPlan an optimal geothermal well drilling scheme, the identification of suitable drilling parameters must be well known.Several important parameters in a drilling operation include rotary speed (N), weight on bit (WOB), true vertical depth (TVD), foamflowrate (FF), and rate of penetration (ROP). Information regarding these parameters can be obtained from drilling geothermal wells.Drilling parameter correlations are then obtained based on this information. The application of an adaptive neuro-fuzzy inferencesystem (ANFIS) is necessary considering that the relationship between parameters is very complicated and non-linear. On the other hand, the relationship between parameters is not easy to know. In this study, the ANFIS model is developed to propose ROP. Data wasobtained from four wells in a geothermal field in South Sumatra. Three ANFIS models were generated. Each model includes different input parameters. rotational speed (N) and weight on drill bit (WOB) and true vertical depth (TVD) are recommended for estimation of rate of penetration (ROP). Adding the foam flow (FF) input rate parameter can improve the accuracy in three out of four cases. Based on the calculation results of the ANFIS-1, ANFIS-2, and ANFIS-3 models, the average relative absolute deviation (MARE) values were 16.42%, 6.99%, 4.14%, respectively, while the correlation coefficient (R) was respectively - respectively 0.716, 0.909, and 0.93
