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"Lapangan geotermal Ulumbu berada di bagian selatan dari wilayah vulkanik tua Mandasawu ndash; Ranakah dan Poco Leok. Lapangan ini memproduksi energi listrik sebesar 4 x 2.5 MW pada tahun 2014 sampai sekarang. Sistem geotermal lapangan ini termasuk ke dalam jenis sistem dua fasa, dengan nilai temperatur reservoir sekitar 230 ndash; 240 oC. Penelitian ini bermaksud untuk melakukan simulasi reservoir lapangan Ulumbu. Proses simulasi reservoir ini bertujuan untuk mengetahui karakteristik dari sistem reservoir geotermal. Simulasi reservoir ini diawali dengan membuat model konseptual sebagai hasil dari interpretasi data geosains geologi, geokimia, dan geofisika. Tahap pertama yaitu melakukan pengolahan data magnetotelluric MT sebagai data utama dan digabungkan dengan hasil analisis data pendukung lainnya sehingga menghasilkan model konseptual. Model konseptual ini akan menjadi data input pada pemodelan numerik. Tahap kedua yaitu melakukan simulasi reservoir yaitu mengubah model konseptual menjadi model numerik. Penelitian ini berhasil membuat model natural state lapangan Ulumbu. Profil tekanan dan temperatur sangat representatif dengan data di ketiga sumur. Model natural state ini kemudian digunakan untuk membantu melakukan skenario pengembangan lapangan geotermal yaitu, menghitung cadangan sumber daya dan membuat rekomendasi zona pengeboran berikutnya. ......Ulumbu geothermal field were located in the south of Mandosawu Ranakah Old volcanics and Pocoleok, Flores Island. This field produces 4 x 2.5 MW electric power in 2014 until now. The type geothermal system is natural two phase, with temperature between 230 ndash 240 oC. This study aims to perform reservoir simulation in the Ulumbu field. The reservoir simulation method aims to determine the reservoir characteristics of the geothermal field. This method begins by creating a conceptual model as a result of interpretation of geosciences data geology, geochemistry, geophysics. The first step is processing of Magnetotelluric MT data as the main data and then combine with the results of analysis supporting data so as to generate a conceptual model. This model will be the input data in numerical modeling. The second stage is doing reservoir simulation that is changing the conceptual model into a numerical model. This research succeeded in making natural state model of Ulumbu reservoir. The pressure and temperature profiles are very representative with the data in the three wells. The natural state model is then used to help undertake a geothermal field development scenario, that is, to calculate resource reserves and to make recommendations for subsequent drilling zones."

"ABSTRAKSalah satu permasalahan dalam memproduksi gas coalbed methane (CBM) adalah lamanya waktu proses dewatering, yaitu pengurasan air untuk menurunkan tekanan sehingga gas metana dapat keluar, termasuk di Lapangan X, Kalimantan. Untuk mempercepat proses dewatering adalah dengan metode well spacing untuk menentukan jumlah sumur yang akan mempengaruhi perolehan gas. Semakin besar jumlah sumur akan meningkatkan produksi CBM, juga akan meningkatkan biaya dan durasi produksinya sehingga diperlukan analisis keekonomian untuk memberikan batasan dan menentukan hasil yang optimum. Studi ini dilakukan dengan simulator numerik untuk melihat efek well spacing dan menggunakan metode cash flow sesuai dengan production sharing contract (PSC) di Indonesia untuk analisis keekonomiannya. Dengan metode ini akan ditemukan well spacing yang optimum baik secara teknik maupun ekonomi. Hasil perhitungan initial gas in place (IGIP) dari perhitungan persamaan volumetrik dan dari studi simulasi reservoir mempunyai perbedaan sebesar 0,71 %, sehingga dapat disimpulkan model simulasi reservoir dapat digunakan untuk melakukan simulasi tahap selanjutnya. Hasil simulasi resevoir yang telah dilakukan menunjukkan bahwa peningkatan produksi CBM (kumulatif produksi gas) dipengaruhi oleh well spacing yang semakin dekat. Hasil keekonomian yang telah dilakukan dipilih skenario yang paling ekonomis (Net Present Value (NPV) tertinggi, nilai Rate of Return (ROR) diatas nilai MARR, nilai Pay Out Time (POT) dan nilai Profitability index (PI) diatas satu) yaitu skenario nomor 9 (well spacing 160 acres, 64 sumur dan gas rate 350 mscf/day) dengan nilai investasi sebesar 98.243.431 USD, kumulatif produksi gas sebesar 101.300 MMSCF, nilai NPV kontraktor sebesar 112.389.939 USD dan NPV Pemerintah sebesar 285,219,170 USD. POT selama 8,6 Tahun dan ROR sebesar 18,4% serta PI sebesar 1,14.

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ABSTRACTOne of the problems in producing gas from coal bed methane (CBM) is the time of the dewatering process. Dewatering process is draining water to reduce pressure so that methane gas can come out, including in Field X, Kalimantan. To accelerate the dewatering process, a well spacing method is used to determine the number of wells which will affect the cumulative gas production. The more the number of wells will increase CBM gas production but will increase the cost and duration of production so that economic analysis is needed to provide limits and determine the optimum yield. This study will be conducted with a numerical simulator to see the effects of well spacing and using the cash flow method in accordance with the production sharing contract (PSC) in Indonesia for economic analysis. This method will find optimum well spacing both technically and economically. The results of the initial gas in place (IGIP) calculations from volumetric equation calculations and from reservoir simulation studies have a difference of 0.71%, so it can be concluded that reservoir simulation models can be used to carry out the next stage of simulation. The results of the simulation that have been carried out show that the increase in CBM (cumulative gas production) is influenced by closer well spacing. The economic results that have been carried out have chosen the most economical scenario (highest NPV, ROR value above MARR value, POT value and PI value above 1) is scenario number 9 (well spacing 160 acres, 64 wells and gas rate 350 mscf/day) with investment of 98,243,431 USD, cumulative gas production of 101,300 MMSCF, contractor NPV of 112,389,939 USD and Government NPV of 285,219,170 USD. Pay Out Time for 8.6 Years and Rate of return of 18.4% and a Profitability Index of 1.14."

"This book covers and expands upon material presented by the author at a CBMS-NSF Regional Conference during a ten-lecture series on multiphase flows in porous media and their simulation. It begins with an overview of classical reservoir engineering and basic reservoir simulation methods and then progresses through a discussion of types of flowsingle-phase, two-phase, black oil (three-phase), single phase with multicomponents, compositional, and thermal.The author provides a thorough glossary of petroleum engineering terms and their units, along with basic flow and transport equations and their unusual features, and corresponding rock and fluid properties. The practical aspects of reservoir simulation, such as data gathering and analysis, selection of a simulation model, history matching, and reservoir performance prediction, are summarized."