scholarly journals Integrated Reservoir Study to Optimize Gas Production of Water Drive Gas Reservoir Case Study: Lower Menggala Gas Field

INSIST ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 154
Author(s):  
Panca Suci Widiantoro ◽  
Astra Agus Pramana ◽  
Putu Suarsana ◽  
Anis N Utami
Keyword(s):  
Material Balance ◽  
Gas Production ◽  
Production Optimization ◽  
Balance Method ◽  
Water Production ◽  
Gas Reservoir ◽  
Gas Field ◽  
Production Analysis ◽  
Conventional Material ◽  
Material Balance Method

Production optimization in mature field water drive gas reservoir is not easy especially when water already breakthrough in producing wells. An integrated reservoir study is needed to get reliable strategy to optimize production of water drive gas reservoir.   This research presents the integrated reservoir study of Lower Menggala (LM) Gas Field which is located Central Sumatera Basin, Riau Province. LM had been produced since 1997, current RF are 55%, which is quite high for water drive gas reservoir. The current gas rate production is about 1.97 MMscfd with high water production around 4250 BWPD, consequently some of wells suffered liquid loading problem   This research comprises of well performance analysis, estimate OGIP, aquifer strength of the reservoir by using conventional material balance method and modern production analysis method then conduct dynamic reservoir simulation to identify the best strategy to optimize gas production. Economic analysis also be performed to guide in making decision which scenario will be selected. DST analysis on DC-01 well defined reservoir parameter, boundary and deliverability which are P*= 2520 psia, k= 229 mD, Total skin= 8, detected sealing fault with distance 175 m, and AOF 45 MMscfd. Conventional material balance method gave OGIP 22.7 BScf, aquifer strength 34 B/D/Psi, whereas modern production analysis estimated OGIP 22.35 BScf, aquifer strength 34 B/D/psi. Those two method shows  good consistency with OGIP  volumetric calculation with discrepancy OGIP value +/- 1%. Six (6) scenario of production optimization has been analyzed, the result shows that work over in two wells and drilling of  1 infill well (case 6) achieve gas recovery factor up to 75.2%, minimal water production and attractive economic result

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

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

<em>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.</em>

Calculation Methods of the Dynamic Reserves for Gas Wells in a Low-Permeability Gas Reservoir

2013 ◽  
Vol 295-298 ◽  
pp. 3243-3248
Author(s):  
Lei Zhang ◽  
Lai Bing Zhang ◽  
Jun Jie Zhang ◽  
Feng Lan ◽  
Pan Deng
Keyword(s):  
Pressure Drop ◽  
Material Balance ◽  
Production Method ◽  
Gas Production ◽  
Phase Method ◽  
Low Permeability ◽  
Gas Reservoir ◽  
Two Phase ◽  
Material Balance Method ◽  
Unit Pressure

Accurately calculating dynamic reserves for single well in a low-permeability gas reservoir has an important guiding significance to high efficiency development of the gas reservoir. During the development of the gas reservoir, dynamic analysis methods were often used to calculate dynamic reserves. Dynamic analysis methods mainly include the material balance method, the gas production method in unit pressure drop, the flexible two-phase method and the production unstable method. Dynamic reserves for four types of gas wells in a low-permeability gas field were calculated using these four methods. Calculation results show that dynamic reserves from big to small are respectively obtained using material balance method, gas production method in unit pressure drop, flexible two-phase method and production unstable method. Calculating dynamic reserves obtained by flexible two-phase method and production unstable method are utilized to production dynamic data of gas well, and those obtained by material balance method and gas production method in unit pressure drop are utilized to the reservoir parameters of different state. Therefore, the values of dynamic reserves obtained using flexible two-phase method and production unstable method in the low-permeability gas reservoir may be more accurate than those obtained using the other methods.

scholarly journals Short-Term Model-Based Production Optimization for a Gas Field in North Africa

2018 ◽  
Vol 10 (2) ◽  
pp. 65
Author(s):  
Arnaud Hoffmann
Keyword(s):  
Piecewise Linear ◽  
Treatment Plant ◽  
Gas Production ◽  
Production Optimization ◽  
Mixed Integer ◽  
Short Term ◽  
Gas Reservoir ◽  
Gas Field ◽  
Gas Treatment ◽  
Model Based

 This paper presents a model-based optimization solution suitable for short-term production optimization of large gas fields with wells producing into a common surface network into a shared gas treatment plant. The proposed methodology is applied to a field consisting of one dry gas reservoir with a CO2 content of 7.3% and one wet gas reservoir with a CO2 content of 2.8% and initial CGR of 15 stb/MMscf. 23 wells are producing, and all gas production is processed in a common gas treatment plant where condensates and CO2 are extracted from the reservoir gas. The final sales gas must honor compositional constraints (CO2 content and heating value). The proposed solution consists of a bi-level optimization algorithm. A Mixed Integer Linear Programming (MILP) formulation of the optimization problem is solved, assuming some key parameters in the gas plant to be constant. Hydraulic performances of the system, approximated using SOS2 piecewise linear models, and condensates and CO2 extraction, captured using simplified models, are included in the MILP. After solving the MILP, the values of the key parameters are calculated using a full simulation model of the gas plant and the new values are substituted in the MILP input data. This iterative procedure continues until convergence is achieved. Results show that the proposed methodology can find the optimum choke openings for all wells to maximize the total gas rate while honoring numerous surface constraints. The solution runs in 30 sec. and an average of 3-4 iterations is needed to achieve convergence. It is therefore a suitable solution for short-term production optimization and daily operations.

scholarly journals Dynamic Material Balance Method for Estimating Gas in Place of Abnormally High-Pressure Gas Reservoirs

Lithosphere ◽  
2021 ◽  
Vol 2021 (Special 1) ◽  
Author(s):  
Lixia Zhang ◽  
Yingxu He ◽  
Chunqiu Guo ◽  
Yang Yu
Keyword(s):  
High Pressure ◽  
Material Balance ◽  
Balance Method ◽  
Production Data ◽  
Reservoir Pressure ◽  
Material Balance Equation ◽  
Gas Reservoirs ◽  
Gas Reservoir ◽  
Material Balance Method ◽  
The Relationship

Abstract Determination of gas in place (GIP) is among the hotspot issues in the field of oil/gas reservoir engineering. The conventional material balance method and other relevant approaches have found widespread application in estimating GIP of a gas reservoir or well-controlled gas reserves, but they are normally not cost-effective. To calculate GIP of abnormally pressured gas reservoirs economically and accurately, this paper deduces an iteration method for GIP estimation from production data, taking into consideration the pore shrinkage of reservoir rock and the volume expansion of irreducible water, and presents a strategy for selecting an initial iteration value of GIP. The approach, termed DMBM-APGR (dynamic material balance method for abnormally pressured gas reservoirs) here, is based on two equations: dynamic material balance equation and static material balance equation for overpressured gas reservoirs. The former delineates the relationship between the quasipressure at bottomhole pressure and the one at average reservoir pressure, and the latter reflects the relationship between average reservoir pressure and cumulative gas production, both of which are rigidly demonstrated in the paper using the basic theory of gas flow through porous media and material balance principle. The method proves effective with several numerical cases under various production schedules and a field case under a variable rate/variable pressure schedule, and the calculation error of GIP does not go beyond 5% provided that the production data are credible. DMBM-APGR goes for gas reservoirs with abnormally high pressure as well as those with normal pressure in virtue of its strict theoretical foundation, which not only considers the compressibilities of rock and bound water, but also reckons with the changes in production rate and variations of gas properties as functions of pressure. The method may serve as a valuable and reliable tool in determining gas reserves.

Formation Pressure Calculation Based on Modified Flowing Material Balance Method

2014 ◽  
Vol 997 ◽  
pp. 868-872
Author(s):  
Quan Hua Huang ◽  
Huai Zhong Wen ◽  
Li Zhang ◽  
Tian Song
Keyword(s):  
Bottom Water ◽  
Material Balance ◽  
Reference Value ◽  
Balance Method ◽  
Formation Pressure ◽  
Gas Reservoir ◽  
Obvious Effect ◽  
Pressure Calculation ◽  
Flowing Material ◽  
Material Balance Method

Formation pressure is an important symbol of driving energy and the key problem of gas reservoir development. Therefore, the formation pressure’s evaluation is a very important work. Due to the invasion of edge-bottom water, using conventional "flow" material balance method to calculate the formation pressure is no longer applicable. According to the theory of reservoir pressure calculation based on flowing material balance method, we established a improved method to calculate the pressure of water drive gas reservoir and verified it by an example. The results show that: edge and bottom water intrusion has obvious effect on the calculation of formation pressure; after considering the influence of water drive, the formation pressure’s calculation results increased, as a consequence the formation pressure’s decreasing range reduced. This research’s result has important reference value for improving the precision of water drive gas reservoir’s formation pressure.

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

PETRO ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 135
Author(s):  
Yogie Seto S.W ◽  
Onnie Ridaliani ◽  
Lestari Lestari
Keyword(s):  
Material Balance ◽  
Compressibility Factor ◽  
Gas Production ◽  
Volumetric Method ◽  
Balance Method ◽  
Line Material ◽  
Drive Mechanism ◽  
Percentage Difference ◽  
Straight Line ◽  
Material Balance Method

<p><em>YS reservoir has </em><em>data of gas initial in place (GIIP)</em><em> with a volumetric method of 3,476 B</em><em>scf</em><em>. </em><em>Because of improvement of data, GIIP</em><em> </em><em>can be</em><em> </em><em>evaluated using material balance method</em><em>.</em><em> Then the production of wet gas will be forcasted with plateu rate of 40 Mscf/d. </em><em>The PV</em><em>T</em><em> data that needs to be calculated in this study is the gas </em><em>and water </em><em>compressibility factor and the formation volume factor </em><em>each</em><em> year. In determining the type </em><em>of drive mechanism</em><em>, a plot of P / Z versus cumulative gas production is carried out, from the analysis</em><em>, </em><em>the type of </em><em>drive mechanism is</em><em> water drive, it is necessary to calculate the water influx, the method used is the </em><em>Van Everdengen-Hurst</em><em> method</em><em>. </em><em>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.</em><em> </em><em>The results of the</em><em> initial gas in place</em><em> calculation using the material balance and straight line material balance methods are </em><em>3,430 Bscf and 3,428 Bscf</em><em>. If the results of the material balance method and the straight line material balance method are compared with </em><em>available GIIP volumetric method data</em><em>, the percent difference is </em><em>1,32</em><em>% and </em><em>1,37</em><em>%. It can be said that </em><em>GIIP result using </em><em>the material balance method and the straight line material balance method</em><em> </em><em>is accurate because after being evaluated using </em><em>volumetric</em><em> method, it only has a small percentage difference.</em><em> </em><em>Then from </em><em>calculation, </em><em>recovery factor </em><em>are</em><em> </em><em>67,43% using gas initial in place of straight line material balance method. With remaining reserve of 16,532 MMscf, the time of production plateu with 40 Mscf/d is 12,40 months.</em></p>

scholarly journals Tight Gas Reservoir Dynamic Reserve Calculation with Modified Flowing Material Balance Method

2021 ◽  
Author(s):  
Jie He ◽  
Xiangdong Guo ◽  
Hongjun Cui ◽  
Kaiyu Lei ◽  
Yanyun Lei ◽  
...  
Keyword(s):  
Material Balance ◽  
Balance Method ◽  
Gas Field ◽  
Gas Well ◽  
Single Well ◽  
Average Formation ◽  
Cumulative Production ◽  
Flowing Material ◽  
Material Balance Method ◽  
The Relationship

Abstract The determination of dynamic reserves of gas well is an important basis for rational production allocation and development of a single well. The commonly used flow material balance method (FMB method) uses the slope of the curve of wellhead pressure and cumulative production after stable production of gas well to replace the slope of the curve of average formation pressure and cumulative production to calculate the controlled reserves of single well. However, based on the theoretical calculation, the FMB method ignores the change of natural gas compression coefficient, viscosity and deviation coefficient in the production process. After considering these changes, the slope of the curve of the relationship between bottom hole pressure and cumulative production and the slope of the curve of the relationship between average formation pressure and cumulative production are not equal. In order to solve this problem, the influence of pressure on each parameter is considered, and the equation of modified flowing material balance method is derived. The application of Yan'an gas field in Ordos Basin shows that: compared with the results of the material balance method, the result of the flow material balance method is smaller, and the maximum error is 58.816%. The consequence of the modified mobile material balance method is more accurate, and the average error is 2.114%, which has good applicability. This study provides technical support for an accurate evaluation of dynamic reserves of tight gas wells in Yan'an gas field, and has important guiding significance for economic and efficient development of gas reservoir.

Flowing Material Balance Analysis and Production Optimization in HPHT Sour Gas Field

2019 ◽  
Author(s):  
Azis Hidayat ◽  
Dwi Hudya Febrianto ◽  
Elisa Wijayanti ◽  
Diniko Nurhajj ◽  
Ahmad Sujai ◽  
...  
Keyword(s):  
Material Balance ◽  
Production Optimization ◽  
Gas Field ◽  
Balance Analysis ◽  
Flowing Material ◽  
Sour Gas

scholarly journals Evaluation of natural gas production optimization in Kailashtila gas field in Bangladesh using decline curve analysis method

2015 ◽  
Vol 50 (1) ◽  
pp. 29-38 ◽  
Author(s):  
MS Shah ◽  
HMZ Hossain
Keyword(s):  
Production System ◽  
Gas Production ◽  
Curve Analysis ◽  
Production Optimization ◽  
Reservoir Pressure ◽  
Gas Field ◽  
Wellhead Pressure ◽  
Decline Curve Analysis ◽  
Decline Curve ◽  
Overall Performance

Decline curve analysis of well no KTL-04 from the Kailashtila gas field in northeastern Bangladesh has been examined to identify their natural gas production optimization. KTL-04 is one of the major gas producing well of Kailashtila gas field which producing 16.00 mmscfd. Conventional gas production methods depend on enormous computational efforts since production systems from reservoir to a gathering point. The overall performance of a gas production system is determined by flow rate which is involved with system or wellbore components, reservoir pressure, separator pressure and wellhead pressure. Nodal analysis technique is used to performed gas production optimization of the overall performance of the production system. F.A.S.T. Virtu Well™ analysis suggested that declining reservoir pressure 3346.8, 3299.5, 3285.6 and 3269.3 psi(a) while signifying wellhead pressure with no changing of tubing diameter and skin factor thus daily gas production capacity is optimized to 19.637, 24.198, 25.469, and 26.922 mmscfd, respectively.Bangladesh J. Sci. Ind. Res. 50(1), 29-38, 2015

Sign in / Sign up

Export Citation Format

Share Document