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

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. 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%.

Download Full-text

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

PETRO ◽

10.25105/petro.v8i4.6208 ◽

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

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 354,766 MMSTB.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 X2 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. Keyword: Original Oil In Place, Decline Curve Analysis, material balance straight line, Recovery Factor, Remaining Reserve

Download Full-text

PENENTUAN ISI AWAL MINYAK DI TEMPAT DENGAN METODE VOLUMETRIK DAN MATERIAL BALANCE GARIS LURUS HAVLENA-ODEH DAN PERKIRAAN PRODUKSI ZONA ENH PADA LAPANGAN X

PETRO ◽

10.25105/petro.v5i1.1978 ◽

2018 ◽

Vol 5 (1) ◽

Author(s):

Eoremila Ninetu Hartantyo ◽

Lestari Said

Keyword(s):

Material Balance ◽

Curve Analysis ◽

Volumetric Method ◽

Balance Method ◽

Production Performance ◽

Decline Curve Analysis ◽

Water Influx ◽

Decline Curve ◽

Original Oil In Place ◽

Material Balance Method

<div class="WordSection1">The purpose of this thesis is to calculate the original oil in place of ENH zone in X field. There are two methods to calculate the original oil in place of ENH zone, which is volumetric method and material balance method. From the calculation of original oil in place of ENH zone using volumetric method is 5.860.310 STB.In Havlena - Odeh straight line material balance method needs the number of water influx. The water influx can be determine using Van-Everdingen Hurst method. The constant number of water influx of ENH zone is 311 BBL/psia. The original oil in place calculation of ENH zone using material balance method is 6.000.000 STB. Decline curve analysis is a method to determine the production performance and estimate ultimate recovery (EUR). By knowing the economic limit rate of ENH zone at 40 BOPD, it can be searched the oil rate and cumulative oil production of ENH zone. The economic limit rate of ENH is reached in March 2019 with recovery factor at 57,95%.Keywords: original oil in place, volumetric, material balance, decline curve analysis</div>

Download Full-text

Reducing Hydrocarbon in Place Uncertainty in Akasia Bagus Structure as Potential Field and Redevelopment Review

Journal of Earth Energy Science, Engineering, and Technology ◽

10.25105/jeeset.v2i3.6386 ◽

2020 ◽

Vol 2 (3) ◽

Author(s):

Tri Handoyo ◽

Suryo Prakoso

Keyword(s):

Development Strategy ◽

Material Balance ◽

Production Optimization ◽

Balance Method ◽

Water Influx ◽

Natural Flow ◽

Production Economic ◽

Conventional Material ◽

Original Oil In Place ◽

Material Balance Method

The success of the discovery of new structure Akasia Bagus with potential L layer in 2009 at PT Pertamina EP's Jatibarang Field was followed up by the drilling infill wells with Plan of Development (POD) mechanism which is currently in the process of drilling the last well. The basis of the L layer hydrocarbon calculation in place on the POD is a static analysis. The wells currently produced are still able to flow with natural flow and enough production data since 2009 this structure was found. This study will present an analysis of production in the L layer of Akasia Bagus structure for Original Oil In Place (OOIP) updates using the conventional material balance method and then carry out the best development strategy to optimize oil production. Economic analysis is also carried out for reference in making decision on which scenario to choose. The conventional material balance method gets an OOIP value of 17.36 MMSTB, with the drive energy ratio being 5:3:2 for water influx : fluid expansion : gas cap expansion. Three (3) production optimization scenarios were analyzed, the results showed that the addition of 2 infill wells reached Recovery Factot (RF) of oil up to 23% of OOIP, minimal water production and attractive economic results.

Download Full-text

Effecting a Pneumatic Operated Assembly, for an Improved Oil Recovery IOR, in Onshore Wells

10.2118/207199-ms ◽

2021 ◽

Author(s):

Abednego Ishaya, Wakili

Keyword(s):

Control Systems ◽

Production Rate ◽

Oil Recovery ◽

Pressure Control ◽

Compressed Air ◽

Improved Oil Recovery ◽

Secondary Recovery ◽

Pressure Development ◽

Hydrocarbon Formation ◽

Original Oil In Place

Abstract As hydrocarbon formation continues, owing to its natural sourcing, technologies have continually emerged on how these hydrocarbons can be effectively produced at a commercial benchmark. Asides its natural drive system, the enhanced oil recovery methods have been one key approach that has been effected towards increasing hydrocarbon's production rate, from its reservoirs. The natural reservoir energy has allowed for about 10% production of original oil in place. And, extending a field's productive life by employing the secondary recovery has further improved production to 20 to 40%, with EOR amounting to about 30 to 60% production. This however, would tell of the impending need towards further developments on increasing upon this production rate. Hence, the approach on using a pneumatic operated assembly with considerations made on onshore wells. This paper seeks to depict a focal on "Pneumatic IOR (Improved Oil Recovery)" as a method to be effected for onshore wells towards improving its productivity. The pneumatic system uses compressed air, contained in a cylinder - through specialized tubing, alongside pressure control systems, that helps regulate the flow and amount of the compressed air; to propel a metallic bar that will act on the reservoir surface. A force of impact, which will induce vibrations inwards, is generated. The mechanical motion of the metal bars for which this compressed air acts upon will provide the travel force, which when it acts on the reservoir surface of interest, will induce geologic stresses. This stresses and vibrations are important constituents in increasing pressure, downhole. Thereby, enabling fluid flow upwards through the wellbore to the surface. And, this will proffer the necessary physics, needed for pressure development downhole, which will be of importance in improving Oil Recovery.

Download Full-text

Determination of Original Oil in Place by the Material Balance Method for A Reservoir with Initial Gas Cap and No Water Influx

Reservoir Engineering Techniques Using Fortran ◽

10.1007/978-94-009-5293-5_6 ◽

1985 ◽

pp. 47-53

Author(s):

Mihir K. Sinha ◽

Larry R. Padgett

Keyword(s):

Material Balance ◽

Balance Method ◽

Water Influx ◽

Original Oil In Place ◽

Material Balance Method

Download Full-text

The Evaluation and Sensitivity of Decline Curve Modelling

Energies ◽

10.3390/en13112765 ◽

2020 ◽

Vol 13 (11) ◽

pp. 2765

Author(s):

Prinisha Manda ◽

Diakanua Nkazi

Keyword(s):

Shale Gas ◽

Goodness Of Fit ◽

Accuracy Assessment ◽

Gas Production ◽

Production Performance ◽

Logistic Growth ◽

Gas Reservoirs ◽

Shale Gas Reservoirs ◽

Decline Curve ◽

Exponential Decline

The development of prediction tools for production performance and the lifespan of shale gas reservoirs has been a focus for petroleum engineers. Several decline curve models have been developed and compared with data from shale gas production. To accurately forecast the estimated ultimate recovery for shale gas reservoirs, consistent and accurate decline curve modelling is required. In this paper, the current decline curve models are evaluated using the goodness of fit as a measure of accuracy with field data. The evaluation found that there are advantages in using the current DCA models; however, they also have limitations associated with them that have to be addressed. Based on the accuracy assessment conducted on the different models, it appears that the Stretched Exponential Decline Model (SEDM) and Logistic Growth Model (LGM), followed by the Extended Exponential Decline Model (EEDM), the Power Law Exponential Model (PLE), the Doung’s Model, and lastly, the Arps Hyperbolic Decline Model, provide the best fit with production data.

Download Full-text

Diaphragmatic relaxation rate after voluntary contractions and uni- and bilateral phrenic stimulation

Journal of Applied Physiology ◽

10.1152/jappl.1988.65.2.675 ◽

1988 ◽

Vol 65 (2) ◽

pp. 675-682 ◽

Cited By ~ 15

Author(s):

P. G. Wilcox ◽

A. Eisen ◽

B. J. Wiggs ◽

R. L. Pardy

Keyword(s):

Relaxation Rate ◽

Phrenic Nerve ◽

External Pressure ◽

Transdiaphragmatic Pressure ◽

Relaxation Parameters ◽

Exponential Decline ◽

Residual Capacity ◽

Rate Of Decline ◽

Voluntary Contractions

We compared the rate of relaxation of the diaphragm (RRdi) after unilateral phrenic nerve stimulation, bilateral phrenic nerve stimulations, and short sharp voluntary contractions (sniffs). RRdi was measured as the maximum rate of decline in transdiaphragmatic pressure (Pdi) corrected for the change in Pdi [maximum relaxation rate (MRR)/delta Pdi], the time constant (tau) of the later exponential decline in Pdi, and the time to half relaxation (1/2 RT). In five subjects there was no difference in mean RRdi apart from a smaller MRR/delta Pdi (P less than 0.05) for left unilateral compared with either right unilateral or bilateral needle stimulation. However, RRdi varied unpredictably between unilateral and bilateral stimulation of the phrenic nerve in individual subjects. In the same five subjects, sniffs were found to have a slower RRdi than bilateral stimulations (MRR/delta Pdi 0.0064 +/- 0.0007 vs. 0.0074 +/- 0.0018/ms, tau 57.2 +/- 8.7 vs. 48.2 +/- 7.4 ms, 1/2 RT 108.9 +/- 10.9 vs. 73.9 +/- 6.0 ms; all P less than 0.05). The application and inflation of an abdominal binder to an external pressure of 60 mmHg resulted in a decrease in functional residual capacity (-710 +/- 70 ml), but there was no effect on relaxation parameters. Our findings suggest that in the evaluation of RRdi 1) unilateral hemidiaphragmatic stimulations may not accurately reflect the in vivo contractile properties of the diaphragm, 2) sniff maneuvers are not voluntary equivalents of phrenic nerve stimulations, and 3) RRdi is not affected by abdominal binder inflation up to 60 mmHg.

Download Full-text

EVALUASI ISI AWAL GAS DI TEMPAT DAN ANALISIS DECLINE CURVE PADA RESERVOIR YS

PETRO ◽

10.25105/petro.v8i1.4293 ◽

2019 ◽

Vol 8 (1) ◽

pp. 35

Author(s):

Yogie Seto S. W ◽

Onnie Ridaliani ◽

Lestari Lestari

Keyword(s):

Material Balance ◽

Compressibility Factor ◽

Volumetric Method ◽

Balance Method ◽

Line Material ◽

Drive Mechanism ◽

Wet Gas ◽

Decline Curve ◽

Straight Line ◽

Material Balance Method

YS reservoir has data of gas initial in place (GIIP) with a volumetric method of 3,476 Bscf. Because of improvement of data, GIIP can be evaluated using material balance method. Then the production of wet gas will be forcasted until below economic limit. The PVT data that needs to be calculated in this study is the gas and water compressibility factor and the formation volume factor each year. In determining the type of drive mechanism, a plot of P / Z versus cumulative gas production is carried out, from the analysis, the type of drive mechanism is water drive, it is necessary to calculate the water influx, the method used is the Van Everdengen-Hurst method. After all the required parameters are available, the calculation of the initial gas in place will be calculated, the method used is the material balance method and the straight line material balance method. The results of the initial gas in place calculation using the material balance and straight line material balance methods are 3,430 Bscf and 3,428 Bscf. If the results of the material balance method and the straight line material balance method are compared with available GIIP volumetric method data, the percent difference is 1,32% and 1,37%. It can be said that GIIP result using the material balance method and the straight line material balance method is accurate because after being evaluated using volumetric method, it only has a small percentage difference. Then from the decline curve and Trial Error and X2 – Chisquare Test analysis, the decline curve is exponential with Di at 1,103 / month. After forecasting until production of wet gas is below the economic flow rate of 0,045 Mscf / d, it is known that the productive age is until 1st September 2021 with the values of EUR and RR respectively 2,309 and 0,014 Bscf. Using the results of GIIP using the material balance and straight line method, the current recovery factor are 67,34% and 67,37 %.

Download Full-text

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

Journal of Earth Energy Engineering ◽

10.22549/jeee.v6i2.1013 ◽

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.

Download Full-text

Using Different Methods to Predict Oil in Place in Mishrif Formation / Amara Oil Field

Iraqi Journal of Chemical and Petroleum Engineering ◽

10.31699/ijcpe.2020.1.5 ◽

2020 ◽

Vol 21 (1) ◽

pp. 33-38

Author(s):

Mohammad Najeeb ◽

Fadhil Sarhan Kadhim ◽

Ghazwan Noori Saed

Keyword(s):

Reservoir Simulation ◽

Material Balance ◽

Volumetric Method ◽

Oil Field ◽

Percentage Error ◽

Reserve Estimation ◽

Volume Calculation ◽

Monte Carlo Simulation Technique ◽

Hydrocarbon Content ◽

Decline Curve

The reserve estimation process is continuous during the life of the field due to risk and inaccuracy that are considered an endemic problem thereby must be studied. Furthermore, the truth and properly defined hydrocarbon content can be identified just only at the field depletion. As a result, reserve estimation challenge is a function of time and available data. Reserve estimation can be divided into five types: analogy, volumetric, decline curve analysis, material balance and reservoir simulation, each of them differs from another to the kind of data required. The choice of the suitable and appropriate method relies on reservoir maturity, heterogeneity in the reservoir and data acquisition required. In this research, three types of reserve estimation used for the Mishrif formation / Amara oil field volumetric approach in mathematic formula (deterministic side) and Monte Carlo Simulation technique (probabilistic side), material balance equation identified by MBAL software and reservoir simulation adopted by Petrel software geological model. The results from these three methods were applied by the volumetric method in the deterministic side equal to (2.25 MMMSTB) and probabilistic side equal to (1.24, 2.22, 3.55) MMMSTB P90, P50, P10 respectively. OOIP was determined by MBAL software equal to (2.82 MMMSTB). Finally, the volume calculation of OOIP by using the petrel static model was (1.92 MMMSTB). The percentage error between material balance and the volumetric equation was equal to 20% while the percentage error between the volumetric method and petrel software was 17%.

Download Full-text