scholarly journals PENENTUAN INITIAL GAS IN PLACE MENGGUNAKAN METODE MATERIAL BALANCE PADA RESERVOIR I

PETRO ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Indah Oktaviani Hardi ◽  
Mulia Ginting ◽  
Ghanima Yasmaniar
Keyword(s):  
Material Balance ◽  
Recovery Factor ◽  
Estimated Ultimate Recovery

<p>Reservoir I merupakan reservoir gas yang terletak di daerah Prabumulih, Sumatera Selatan. Tekanan awal sebesar 2.286 psia dan temperatur 240°F. Reservoir I berproduksi sejak Januari 2012 sampai dengan saat ini, dengan total produksi gas (Juni 2019) sebesar 32.178 MMSCF. Dalam pengembangan suatu lapangan gas bumi ada beberapa faktor penting yang harus ditentukan secara akurat, salah satunya dalam menentukan isi awal gas di tempat atau <em>Initial Gas In Place</em> (IGIP), nilai tersebut akan berperan penting dalam keputusan dasar pengembangan dan operasional suatu reservoir.</p><p>Perhitungan <em>Initial Gas In Place</em> (IGIP) dilakukan dengan menggunakan metode <em>material balance</em> P/Z dan simulasi MBAL. Metode <em>material balance</em> dipilih karena memperhitungkan kesetimbangan massa dan tenaga dorong reservoir, dan data yang diperlukan lebih lengkap dibandingkan metode yang lain. Pada perhitungan dengan menggunakan metode<em> material balance </em>P/Z,<em> Initial Gas In Place</em> yang didapat sebesar 60.915,49 MMSCF, dan nilai perhitungan menggunakan software MBAL sebesar 60.604,5 MMSCF. Jenis tenaga dorong reservoir ini adalah <em>depletion drive</em>, yang ditentukan dari plot P/Z vs Gp yang menghasilkan garis lurus. Berdasarkan nilai tekanan <em>abandon</em> sebesar 300 psia didapatkan nilai <em>estimated ultimate recovery</em> sebesar 53.700 MMSCF, dengan nilai <em>recovery factor </em>88,15% dan sisa gas yang dapat diproduksikan (<em>remaining reserves</em>) sebesar 21.522 MMSCF.</p>

scholarly journals Analisa Dan Optimasi Recovery Perolehan Cadangan Gas Dengan Melihat Parameter Design Sumur Pada Struktur Musi Barat Di Lapangan Riyadh

2017 ◽  
Vol 6 (2) ◽  
pp. 14-24
Author(s):  
Rycha Melysa ◽  
Idham Khalid
Keyword(s):  
Material Balance ◽  
Recovery Factor ◽  
Parameter Design ◽  
Driving Mechanism ◽  
Cole Plot

Lapangan Riyadh merupakan lapangan yang memiliki potensi cadangan gas. Berdasarkan hasil perkiraan cadangan secara volumetric lapangan Riyadh memiliki cadangan sebesar 686.334 Bcf. Lapangan Riyadh ini memiliki 28 sumur yaitu hanya 20 sumur yang berproduksi hingga tahun 2016. Perolehan gas pada lapangan Riyadh hingga akhir tahun 2016 yaitu sebesar 505.336 Bcf. Maka perlu dilakukan perkiraan cadangan berdasarkan material balance dan melakukan optimasi recovery perolehan gas sesuai dengan design sumur di lapangan riyadh. Pada lapangan Riyadh ini dilakukan analisa forecast tekanan terhadap kumulatif produksi gas untuk mengetahui tekanan pada kumulatif produksi gas terhadap waktu. Selanjutnya dilakukan perhitungan perkiraan cadangan dengan metode plot P/z vs Gp dan dilakukan identifikasi driving mechanism. Dari hasil perkiraan cadangan dapat dihitung perkiraan recovery factor current dan recovery factor predict . tahap optimasi recovery perolehan gas dilakukan dengan prosper dan mbal software. Hasil perkiraan cadangan gas dengan material balance plot P/z vs Gp sebesar 702.895 Bcf. Analisa plot P/z vs Gp dapat diketahui bahwa reservoir pada lapangan Riyadh dipengaruhi aquifer influx sehingga dapat di indikasi dari hasil metode cole plot, driving mechanism lapangan Riyadh ini adalah strong water drive .kemudian dari hasil perhitungan cadangan plot P/z vs Gp untuk RF current sebesar 72 % dengan RF prediksi 82 % berdasarkan manual. Setelah dilakukan simulasi Mbal recovery perolehan gas pada lapangan Riyadh dapat di optimasi sampai 85 % berdasarkan parameter design sumur yaitu tubing 3 inch.

scholarly journals Estimasi Water Influx dan Luas Aquifer di Lapangan X

2013 ◽  
Vol 2 (2) ◽  
pp. 24-27
Author(s):  
Novrianti Novrianti
Keyword(s):  
Material Balance ◽  
Recovery Factor ◽  
Reservoir Water ◽  
Water Influx

Water Influx adalah air yang merembes ke dalam reservoir. Water Influx terjadi untuk mengimbangi gejala penurunan tekanan yang terjadi di reservoir karena masuknya air berfungsi untuk menggantikan minyak yang diproduksikan. Water Influx perlu diperhatikan untuk mengetahui luas aquifer serta pengaruhnya terhadap tingkat perolehan ( recovery factor). Lapangan X mulai produksi tahun 1955 dan injeksi air mulai dilakukan tahun 1974. Estimasi perhitungan Water influx pada lapangan X dilakukan dengan menggunakan persamaan  material balance dan metode Hurst – Van Everdingen. Selain menentukan Water influx metode Hurst – Van Everdingen juga berfungsi untuk menentukan bentuk dan luas aquifer. Kumulatif water influx yang diperoleh dengan menggunakan Metode Material Balance adalah 30 MMMSTB  sedangkan dengan metode Hurst – Van Everdingen adalah 32 MMMSTB. Bentuk aquifer lapangan X adalah  finite aquifer dengan rD = 8  dan Luas aquifer lapangan  X adalah 241016,62 ft.

scholarly journals RESERVOIR PERFORMANCE ANALYSIS USING MATERIAL BALANCE METHOD IN GAS FIELD

2021 ◽  
Vol 2 (2) ◽  
pp. 68
Author(s):  
Indah Widiyaningsih ◽  
Panca Suci Widiantoro ◽  
Suwardi Suwardi ◽  
Riska Fitri Nurul Karimah
Keyword(s):  
Flow Rate ◽  
Gas Flow ◽  
Material Balance ◽  
Gas Production ◽  
Recovery Factor ◽  
Reservoir Pressure ◽  
Gas Flow Rate ◽  
Reservoir Performance ◽  
Cumulative Production ◽  
Material Balance Method

The RF reservoir is a dry gas reservoir located in Northeast java offshore that has been produced since 2018.  The RF reservoir has produced 2 wells with cumulative production until December 2019 is 31.83 BSCF. In January 2018 the gas production rate from the two wells was 36 MMSCFD and the reservoir pressure at the beginning of production was 2449.5 psia, peak production occurred in April 2019 with a gas flow rate of 98 MMSCFD but in December 2019 the gas production rate from both wells decreased to 30 MMSCFD with reservoir pressure decreased to 1607.8 psia. Changes in gas flow rate and pressure in the RF reservoir will affect changes in reservoir performance, so it is necessary to analyze reservoir performance to determine reservoir performance in the future with the material balance method. Based on the results the initial gas in place (IGIP) is 80.08 BSCF. The drive mechanism worked on the RF reservoir until December 2019 was a depletion drive with a recovery factor up to 88% and a current recovery factor (CRF) is 40%. The remaining gas reserves in December 2019 is 39 BSCF and the reservoir will be made a production prediction until December 2032. Based on production predictions of the four scenarios, scenario 2 was chosen as the best scenario to develop the RF reservoir with a cumulative production is 66.1 BSCF and a recovery factor of 82.6%.

scholarly journals Comparative Study of Oil Recovery Factor Determination for Edge and Bottom Water Drive Mechanism Using Water Influx Models

2021 ◽  
Vol 6 (5) ◽  
pp. 1-9
Author(s):  
C. G. J. Nmegbu ◽  
Orisa F. Ebube ◽  
Emmanuel Aniedi Edet
Keyword(s):  
Oil Recovery ◽  
History Matching ◽  
Bottom Water ◽  
Research Work ◽  
Relative Size ◽  
Material Balance ◽  
Recovery Factor ◽  
Production Data ◽  
Percentage Increase ◽  
Average Percentage

The purpose of this research work is to comparatively study the oil recovery factor from two major aquifer geometry (Bottom and Edge water aquifer) using water aquifer model owing to the fact that most if not every reservoir is bounded by a water aquifer with relative size content (Most Large). These aquifers are pivotal in oil recovery factor (percent%), Cumulative oil produced (MMSTB) as well as overall reservoir performance the methodology utilized in this study involves; Identification of appropriate influx models were utilized for aquifer characterization. The characterizes of the Niger Delta reservoir aquifer considered include aquifer permeability, aquifer porosity etc. Estimation of aquifer properties is achieved by using regressed method in Material Balance Software (MBAL). This approach involves History Matching of average reservoir pressure with computed pressure of the reservoir utilizing production data and PVT data. The computed pressure from model is history matched by regressing most uncertain parameters in aquifer such as aquifer size, permeability, and porosity. Historic production data was imputed into the MBAL Tank Model, the production data was matched with the model simulation by regressing on rock and fluid parameters with high uncertainty. The match parameters were recorded as the base parameter and other sensitivity on aquifer parameters using the Fetkovich model for the bottom and edge water drive. The average percentage increase in oil cumulative volume was 0.40% in fovour of bottom water drive. Further sensitivity on cumulative oil recovered showed the increase in reservoir size with increasing aquifer volumes increases oil production exponentially in bottom water drive whereas edge water drive increased linearly. Aquifer volume, aquifer permeability showed linear relationship with bottom and edge water drive.

scholarly journals MENENTUKAN FORECAST PRODUKSI SUMUR DAN MENGHITUNG ORIGINAL OIL IN PLACE DENGAN METODE STRAIGHT LINE MATERIAL BALANCE RESERVOIR MINYAK PADA LAPANGAN Y

PETRO ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 158
Author(s):  
Bonifasius Aristomo Haryo Adi ◽  
Onnie Ridaliani ◽  
Rida Husla
Keyword(s):  
Material Balance ◽  
Curve Analysis ◽  
Test Method ◽  
Recovery Factor ◽  
Decline Curve Analysis ◽  
Decline Curve ◽  
Straight Line ◽  
Production Activity ◽  
Chisquare Test ◽  
Original Oil In Place

<p><em>The purpose of calculating the Original Oil In Place (OOIP) is to know the potential of reservoir to be produced. Calculation of OOIP in field Y based on determining the type of drive mechanism at the beginningfollowed by calculation the value of Underground Withdrawal and parameters of fluid expansion. All parameters then used to draw the graphic using Havlena and Odeh Method. The value of OOIP is </em>354,766 MMSTB<em>.</em></p><p><em>Along with the time and production activity, the OOIP will be reduced. Therefore it is important to forecast the production itself. Constant Decline is determined using Trial Error and X<sup>2</sup> Chisquare Test Method with value of constant decline b = 0 and decline rate 0,01855. This means that the type of decline curve is exponential curve. This type of decline curve is used to forecast the production until q economic limit. As a result, the value of Estimated Ultimated Recovery is 296,0386 MMSTB, Recovery Factor 83,4461%, and Remaining Reserve 51,9415 MMSTB</em>.<em></em></p><p align="center"> </p><p>Keyword: <em>Original Oil In Place</em>, <em>Decline Curve Analysis, material balance straight line, Recovery Factor, Remaining Reserve</em></p><p> </p>

scholarly journals PERHITUNGAN ISI AWAL MINYAK DI TEMPAT DAN PERHITUNGAN RECOVERY FACTOR SEBELUM DAN SESUDAH INJEKSI AIR PADA RESERVOIR ALFA

PETRO ◽  
2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Lestari Said ◽  
Margareht Sri Wahyuni
Keyword(s):  
Material Balance ◽  
Recovery Factor ◽  
Decline Curve ◽  
Exponential Decline ◽  
Secondary Recovery ◽  
Rate Of Decline ◽  
Original Oil In Place ◽  
Solution Gas

<p>Dilakukan perhitungan isi awal minyak di tempat atau original oil in place (OOIP) dan recovery factor sebelum dan sesudah injeksi air pada reservoir Alfa. Pada perhitungan OOIP digunakan dua metode, yaitu metode volumetrik dan material balance garis lurus. Sebelum melakukan perhitungan OOIP dengan metode material balance garis lurus, jenis mekanisme pendorong harus terlebih dahulu diketahui untuk menentukan grafik yang digunakan dalam metode material balance garis lurus. Metode penentuan jenis mekanisme pendorong, yaitu metode perhitungan drive index dan  Ganesh Thakur,.  Sedangkan untuk menghitung recovery factor sebelum dan sesudah injeksi digunakan analisa decline curve yang dilakukan secara dua tahap, yaitu tahap primary recovery dan secondary recovery (injeksi air). Analisa decline curve ditentukan dengan menggunakan status sumur produki aktif yang relatif konstan Jenis exponent decline (b) yang dipilih adalah exponential decline curve, dengan nilai rate of decline (Di) telah otomatis terhitung saat penarikan garis decline dengan  software OFM.</p><p> </p><p>Hasil perhitungan OOIP dengan menggunakan metode volumetric adalah sebesar 75.63 MMSTB dan untuk metode material balance garis lurus adalah sebesar 78.5 MMSTB. Sedangkan jenis mekanisme pendorong dari reservoir Alfa  adalah solution gas drive.Dan hasil analisa decline curve pada tahap primary recovery menunjukan bahwa reservoir Alfa  dapat berproduksi hingga 31 Mei 2012 dengan nilai Estimate Ultimate Recovery sebesar 24514.1 MSTB, dan Recovery Factor sebesar 31.32%. Sedangkan untuk tahap secondary recovery menunjukkan bahwa reservoir Alfa dapat berproduksi hingga 31 Maret 2022 dengan nilai Estimate Ultimate Recovery sebesar 781.314 MSTB, dan Recovery Factor sebesar 1%.</p>

Brownstock washing: A review of the literature

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 9-19 ◽  
Author(s):  
RICARDO B. SANTOS ◽  
PETER W. HART
Keyword(s):  
High Efficiency ◽  
Black Liquor ◽  
Material Balance ◽  
Kraft Pulping ◽  
Wash Water ◽  
Pulp Fibers ◽  
Kraft Process ◽  
Cooking Process ◽  
Materials Used ◽  
Entrapped Air

Brownstock washing is a complex, dynamic process in which dirty wash water or weak black liquor (dissolved organic and inorganic material obtained from the pulp cooking process) is separated from pulp fibers. The use of material balance techniques is of great importance to identify potential problems and determine how well the system is operating. The kraft pulping industry was the first known to combine pulp washing with the recovery of materials used and produced in the wood cooking process. The motivation behind materials recovery is economic, and more recently, environmentally driven. The chemicals used in the kraft process are expensive as compared to those used in the sulfite process. For the kraft process to be economically viable, it is imperative that a very high percentage of the cooking chemicals be recovered. To reach such high efficiency, a variety of washing systems and monitoring parameters have been developed. Antifoam additives and processing aids have also played an important role in increasing washing effectiveness. Antifoam materials help attain washing effectiveness by preventing entrapped air from forming in the system, which allows for an easier, unimpeded flow of filtrate through the screens and washers.

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