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Taufan Marhaendrajana - One of the best experts on this subject based on the ideXlab platform.
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PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirtieth Annual Convention & Exhibition, August 2005 CHARACTERIZATION OF GAS ReservoirS USING PRODUCTION DATA ANALYSIS - PRE-TERTIARY BASEMENT GAS Reservoir, SOUTH SUMATRA, INDONESIA
2011Co-Authors: Helmi Pratikno, Teddy H. Komaroedin, Taufan MarhaendrajanaAbstract:This paper presents a field case history of the integrated analysis and interpretation developed using continuously measured rate from production ticket and surface Pressure and Static Reservoir Pressure data from pre-tertiary basement gas Reservoir in South Sumatra, Indonesia. The primary objective of this work is to estimate areal distributions of flow properties (effective permeability and skin factor) as well as "volumetric" properties (original gas in place, gas reserves and Reservoir drainage area – per well basis). The outcomes are then used to evaluate the effectiveness of well spacing and to identify additional potential area for infill well. Throughout this study, a type curve approach is used to analyze production data, which enable us to perform real-time evaluation and monitoring of the well performance. This approach is cross-validated with conventional material balance analysis. Combination of the two analyses should provide more consistent results for characterizing the pre-tertiary basement gas Reservoir. In addition, the evaluation of production data can identify the occurrence of possible well interference.
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Characterization of Gas Reservoirs Using Production Data Analysis - Pre-Tertiary Basement Gas Reservoir, South Sumatra, Indonesia
2005Co-Authors: Helmi Pratikno, Teddy H. Komaroedin, Taufan MarhaendrajanaAbstract:This paper presents a field case history of the integrated analysis and interpretation developed using continuously measured rate from production ticket and surface Pressure and Static Reservoir Pressure data from pre-tertiary basement gas Reservoir in South Sumatra, Indonesia. The primary objective of this work is to estimate areal distributions of flow properties (effective permeability and skin factor) as well as "volumetric" properties (original gas in place, gas reserves and Reservoir drainage area – per well basis). The outcomes are then used to evaluate the effectiveness of well spacing and to identify additional potential area for infill well. Throughout this study, a type curve approach is used to analyze production data, which enable us to perform real-time evaluation and monitoring of the well performance. This approach is cross-validated with conventional material balance analysis. Combination of the two analyses should provide more consistent results for characterizing the pre-tertiary basement gas Reservoir. In addition, the evaluation of production data can identify the occurrence of possible well interference.
Helmi Pratikno - One of the best experts on this subject based on the ideXlab platform.
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PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirtieth Annual Convention & Exhibition, August 2005 CHARACTERIZATION OF GAS ReservoirS USING PRODUCTION DATA ANALYSIS - PRE-TERTIARY BASEMENT GAS Reservoir, SOUTH SUMATRA, INDONESIA
2011Co-Authors: Helmi Pratikno, Teddy H. Komaroedin, Taufan MarhaendrajanaAbstract:This paper presents a field case history of the integrated analysis and interpretation developed using continuously measured rate from production ticket and surface Pressure and Static Reservoir Pressure data from pre-tertiary basement gas Reservoir in South Sumatra, Indonesia. The primary objective of this work is to estimate areal distributions of flow properties (effective permeability and skin factor) as well as "volumetric" properties (original gas in place, gas reserves and Reservoir drainage area – per well basis). The outcomes are then used to evaluate the effectiveness of well spacing and to identify additional potential area for infill well. Throughout this study, a type curve approach is used to analyze production data, which enable us to perform real-time evaluation and monitoring of the well performance. This approach is cross-validated with conventional material balance analysis. Combination of the two analyses should provide more consistent results for characterizing the pre-tertiary basement gas Reservoir. In addition, the evaluation of production data can identify the occurrence of possible well interference.
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Characterization of Gas Reservoirs Using Production Data Analysis - Pre-Tertiary Basement Gas Reservoir, South Sumatra, Indonesia
2005Co-Authors: Helmi Pratikno, Teddy H. Komaroedin, Taufan MarhaendrajanaAbstract:This paper presents a field case history of the integrated analysis and interpretation developed using continuously measured rate from production ticket and surface Pressure and Static Reservoir Pressure data from pre-tertiary basement gas Reservoir in South Sumatra, Indonesia. The primary objective of this work is to estimate areal distributions of flow properties (effective permeability and skin factor) as well as "volumetric" properties (original gas in place, gas reserves and Reservoir drainage area – per well basis). The outcomes are then used to evaluate the effectiveness of well spacing and to identify additional potential area for infill well. Throughout this study, a type curve approach is used to analyze production data, which enable us to perform real-time evaluation and monitoring of the well performance. This approach is cross-validated with conventional material balance analysis. Combination of the two analyses should provide more consistent results for characterizing the pre-tertiary basement gas Reservoir. In addition, the evaluation of production data can identify the occurrence of possible well interference.
Teddy H. Komaroedin - One of the best experts on this subject based on the ideXlab platform.
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PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirtieth Annual Convention & Exhibition, August 2005 CHARACTERIZATION OF GAS ReservoirS USING PRODUCTION DATA ANALYSIS - PRE-TERTIARY BASEMENT GAS Reservoir, SOUTH SUMATRA, INDONESIA
2011Co-Authors: Helmi Pratikno, Teddy H. Komaroedin, Taufan MarhaendrajanaAbstract:This paper presents a field case history of the integrated analysis and interpretation developed using continuously measured rate from production ticket and surface Pressure and Static Reservoir Pressure data from pre-tertiary basement gas Reservoir in South Sumatra, Indonesia. The primary objective of this work is to estimate areal distributions of flow properties (effective permeability and skin factor) as well as "volumetric" properties (original gas in place, gas reserves and Reservoir drainage area – per well basis). The outcomes are then used to evaluate the effectiveness of well spacing and to identify additional potential area for infill well. Throughout this study, a type curve approach is used to analyze production data, which enable us to perform real-time evaluation and monitoring of the well performance. This approach is cross-validated with conventional material balance analysis. Combination of the two analyses should provide more consistent results for characterizing the pre-tertiary basement gas Reservoir. In addition, the evaluation of production data can identify the occurrence of possible well interference.
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Characterization of Gas Reservoirs Using Production Data Analysis - Pre-Tertiary Basement Gas Reservoir, South Sumatra, Indonesia
2005Co-Authors: Helmi Pratikno, Teddy H. Komaroedin, Taufan MarhaendrajanaAbstract:This paper presents a field case history of the integrated analysis and interpretation developed using continuously measured rate from production ticket and surface Pressure and Static Reservoir Pressure data from pre-tertiary basement gas Reservoir in South Sumatra, Indonesia. The primary objective of this work is to estimate areal distributions of flow properties (effective permeability and skin factor) as well as "volumetric" properties (original gas in place, gas reserves and Reservoir drainage area – per well basis). The outcomes are then used to evaluate the effectiveness of well spacing and to identify additional potential area for infill well. Throughout this study, a type curve approach is used to analyze production data, which enable us to perform real-time evaluation and monitoring of the well performance. This approach is cross-validated with conventional material balance analysis. Combination of the two analyses should provide more consistent results for characterizing the pre-tertiary basement gas Reservoir. In addition, the evaluation of production data can identify the occurrence of possible well interference.
Lee H. Norris - One of the best experts on this subject based on the ideXlab platform.
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The blowdown-limit model
Journal of Petroleum Technology, 1991Co-Authors: Steve B. Coleman, Hartley B. Clay, David G. Mccurdy, Lee H. NorrisAbstract:This paper introduces the technology defining the gas-well productive limit known as the blowdown limit. This limit is the Static Reservoir Pressure at which a gas well becomes incapable of unloading the fluids that collected during load-up. The theoretical background is presented, along with field data that support the theory. This technology establishes a method for determining the abandonment Pressure of a depletion-drive gas Reservoir.
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Applying Gas-Well Load-Up Technology
Journal of Petroleum Technology, 1991Co-Authors: Steve B. Coleman, Hartley B. Clay, David G. Mccurdy, Lee H. NorrisAbstract:Summary This paper incorporates critical-rate and blowdown-limit technology intosystem-network-analysis (SNA) techniques to predict abandonment Pressures fordepletiondrive Reservoirs and demonstrates that SNA by itself tends tounderestimate the abandonment Pressure. A number of practical operationalconsiderations pertaining to the use of this technology are also outlined. Introduction At the outset of this series, we said that the technology of low-Pressuregas-well load-up would be presented to enhance the understanding of gas-wellload-up problems and to establish more consistent and accurate analyticalmethods for evaluating the economic abandonment of depletion-drive gasReservoirs. The first three parts of the series presented the technology fordetermining a presented the technology for determining a well's critical rate, for predicting wellbore hydraulics during load-up, and for calculating a newproducing limit known as the gaswell blowdown limit. This final part presentspractical methods for using this technology practical methods for using thistechnology to predict abandonment Pressures, to evaluate productionalternatives, and to perform a Reservoir depletion analysis. This paper alsosummarizes considerations for operating low-Pressure gas wells and fields. Methods for Predicting Abandonment Pressures In the past, the most common method for predicting the abandonment Pressureof a predicting the abandonment Pressure of a depletiondrive gas Reservoir wascomparison to a similar Reservoir's past performance. Because of recentadvances in performance. Because of recent advances in computing technology andtwo-phase-flow calculation methods, an increasing number of engineers are usinga more rigorous SNA to predict Reservoir abandonment Pressures. This processinvolves integrating Pressures. This process involves integrating the Reservoirflow performance (inflow) and the wellbore/system flow performance (outflow)for various flow rates and Static Reservoir Pressures. The results of theintegration can then be plotted and analyzed. Fig. 1 is an example of such aplot. The abandonment Pressure for each well/ system configuration is typicallyinterpreted as the Static Reservoir Pressure where the wellbore/systemperformance becomes unproducible-i.e., where the inflow and outflow performancecurves no longer intersect. Two-phase-flow correlations indicate that at thispoint the wellbore will load up and the well will die. Using the Liquid-Droplet-Model Critical Rate To Predict Abandonment Pressures If we compare this load-up point to the critical-rate calculation presentedin Part 1 of this series, we can construct a comparison plot like that in Fig.2. As this figure shows, as the Static Reservoir Pressure declines, thetangency point diverges from the critical rate. Thus, the previous analysiswith the tangency point as the load-up point yielded a lower abandonmentPressure than is indicated by liquid-droplet-model criticalrate technology. Thedata presented in part 1 showed that the liquid-droplet-model critical rateaccurately predicts the load-up threshold for low Pressures. We can concludethat the two-phase-flow correlation does not correctly interpret this samepoint of wellbore instability. Although examination of the causes of this difference is beyond the scope ofthis paper, it is worthy of a few comments. As a general rule, mosttwo-phase-flow correlations use an interpretation of vertical flow regime topredict where the transition from mist to slug predict where the transitionfrom mist to slug flow begins. This transition point is generally consideredthe point where the wellbore becomes unstable. The correlations, however, cannot determine the point where liquid droplets begin to be held up in thewellbore. This difference in load-up-point interpretations could explain thedivergence between the two methods. Using the Blowdown-Limit Model To Predict Abandonment Pressures A comparison of the abandonment Pressures predicted with liquid-droplettechnology predicted with liquid-droplet technology combined with SNA tohistorical data for various Reservoirs showed that the criticalrate abandonmentPressure is still not the correct ultimate abandonment Pressure of mostdepletion-drive Reservoirs. In fact, many Reservoirs are depleted below thePressure predicted with this method. To Pressure predicted with this method. Tounderstand the reason behind this, it is helpful to examine the technology ofthe blowdownlimit model and its application to the same SNA analysis. JPT P. 344
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A New Look at Predicting Gas-Well Load-Up
Journal of Petroleum Technology, 1991Co-Authors: Steve B. Coleman, Hartley B. Clay, David G. Mccurdy, Lee H. NorrisAbstract:Summary. This paper discusses results of field tests conducted to verify minimum flow rate (critical rate) required to keep low-Pressure gas wells unloaded and compares results to previous work. This paper also covers liquid yield effects, liquid sources, verification that wellhead conditions control onset of load-up, and effects of temperature, gas/liquid gravities, wellbore diameter, and packer/tubing setting depth. Introduction As natural gas is produced from depletiondrive Reservoirs, the energy available to transport the produced fluids to the surface declines. This transport energy eventually becomes low enough that flow rates are reduced and fluids produced with the gas are no longer carried to the surface but are held up in the wellbore. These liquids accumulate in the wellbore over time, and cause additional hydroStatic backPressure on the Reservoir, which results in continued reduction of the available transport energy. In most cases, if this condition is allowed to continue, the wellbore will accumulate sufficient fluids to balance the available Reservoir energy completely and cause the well to die. This phenomenon is known as gas-well load-up. As Fig. 1 shows, load-up can easily be recognized on a typical gas-well L-l0 chart by the characteristic exponential rate decline caused by accumulating wellbore liquids. Numerous papers have offered methods for predicting and controlling the onset of load-up. Turner et al. method for predicting when gas-well load-up will occur is most widely used. They compared two physical models for transporting fluids up vertical conduits: liquid film movement along the pipe walls and liquid droplets entrained in the high-velocity gas core. A comparison of these two models with field test data yielded the conclusion that the onset of load-up could be predicted adequately with an equation developed from liquid droplet theory (Stokes law), but that a 20% upward adjustment of the equation was necessary. Turner et al. also suggested that in most instances wellhead conditions controlled the onset of liquid load-up and that liquid/gas ratios in the range of l to 130 bbl/MMscf did not influence the minimum lift velocity. Examination of Turner et al. published data indicates that most of the wells used in the comparison had wellhead flowing Pressures (WHFP's) above 500 psi. Because gas-well load-up problems generally worsen with continued decline in Reservoir energy, this paper focuses on wells with lower Reservoir Pressures that are experiencing liquid load-up and have WHFP's below 500 psi. Wellbore Liquid Sources Before examining the wellbore-liquid-loading mechanism, we must first consider the source of the liquids. There are two obvious sources: liquids condensed from the gas owing to wellbore heat loss and free liquids produced into the wellbore with the gas. Both liquid hydrocarbons and water may be present, depending on the specific Reservoir. In examining these sources, one might tend to minimize the impact of condensed water, particularly at low Reservoir Pressures. Because the gas is saturated with water at Reservoir conditions, a plot like Fig. 2 can be constructed to show the impact of condensed water for a typical 8,000-ft, lowPressure gas well. As shown, the amount of water condensed increases exponentially as the Static Reservoir Pressure declines. This is unfortunate because, as Reservoir Pressures decline, the amount of load fluid required to balance the Reservoir hydroStatically and to kill a well also declines, compounding the problem. Other problems may also occur as a result of gas-well load-up. The near-wellbore region of the Reservoir may begin to become saturated with liquids, causing the relative permeability to gas to decrease. further reducing the well's potential to remain productive. Also, condensed water can be damaging to formations containing swelling clays because it is low in total chlorides (less than 500 ppm). Critical-Rate Theory-Liquid-Droplet Model As Turner et al. showed, a free-falling particle in a fluid medium will reach a terminal velocity that is a function of the particle size, shape, and density and of the fluid-medium density and viscosity. Applying this concept to liquid droplets in a flowing column of gas, we can calculate the terminal velocity, vt, of the drop using which assumes a fixed droplet shape, size, and drag coefficient and includes the +20% adjustment suggested by Turner et al. JPT P. 329^
Vivi Thomas Hriscu - One of the best experts on this subject based on the ideXlab platform.
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initial flow testing of the phase ii Reservoir redrilling of ee 2 and Static Reservoir Pressure testing
2012Co-Authors: Donald W Brown, David V Duchane, Grant Heiken, Vivi Thomas HriscuAbstract:The demonstration of flow connectivity between the redrilled EE-3A wellbore and the EE-2 Reservoir zone (Expts. 2059 and 2062) made it clear that a viable HDR system had finally been established, although that stage of the Fenton Hill HDR Project took about 5 years (1980–1985)—much longer than originally anticipated. Throughout that period, Germany and Japan contributed both funds and manpower to the effort. The Germans withdrew from the Project at the end of 1985, but the Japanese maintained a presence through the following year. In early 1986, they began pressing strongly for the thermal and flow characteristics of the HDR system to be evaluated.