1860 MY
Prof. Ir. Tutuka Ariadji, M.Sc., Ph.D. ; Prasandi Abdul Aziz, S.Si., MT
Prodi Teknik Perminyakaan FTTM ITB
2019
| Materi Koleksi | : Tugas Akhir Skripsi-ITB |
| Bahasa | : Indonesia |
| Subjek | : reservoir |
| Kata Kunci | : Sand rate prediction, reservoir simulation, perforation, skin, geomechanics parameters |
| Keterangan | : Sand production has been one of the most difficult problems for mature field and complex offshore field development. There are come several consequences, a reduction of production rate, reduction of well productivity, damaging the downhole equipment, etc. Hence, production sand is needed to be anticipated. Estimating sand production is then one way to anticipate the sand production problems that could happen. In this study the sand rate production volume and rates will be predicted using the Van den Hoek and Geilikman’s method as a function of bottom-hole condition, drawdown, and time. This study presents sensitivity analysis due to perforation interval, skin, and geomechanics parameters using a 3D reservoir simulation model to develop the input for the Van den Hoek and Geilikman’s method, so the sand rate prediction could be analyzed. The results show that with the decreasing of the perforation interval the smaller the sand rate production prediction using the Van den Hoek and Geilikman's methods. Within the range of perforation interval from 288 ft to 32 ft, the sand rate can go down to 66.6%, from 2479.99 L/day to 827,243 L/day at 10958 days. However, Because of the sand prediction rate using the Van den Hoek and Geilikman's method does not account to the rate of hydrocarbon production as an input, the Skin sensitivity shows an opposite result as previously desired. As the skin increases the delta pressure reading increases, and the fluid production rate read also increases. There is an increase up to 5 folds of production sand rate prediction as the increase in skin from 0 to 50. Besides that, the sensitivity of 3 geomechanics parameters (Young modulus, Poisson Ratio, and Permeability) shows that Young Modulus is the most significant factor if the Unconfined Compressive Strength (UCS) correlation with Young modulus is used in the input of the sand rate prediction calculation and Poisson Ratio is the most significant factor when the UCS correlation against Poisson Ratio is used in the input of the sand rate prediction calculation. In 3 geomechanics parameter sensitivity, Young's modulus values ranging from 145038 psi to 2.6x106 psi, Poisson Ratio from 0.21 to 0.38 and permeability from 30 md to 350 md, the sand rate production prediction in Chang et al correlation (Young Modulus to UCS correlation) vary between 900 L/day to 4000 L/day and up to 1.4 Million L/day sand rate if the Poisson Ratio to UCS correlation is used. This also shows that UCS is a more sensitive parameter on changes in sand rate prediction compared to permeability. |