A Single Well Test Method That Yields a Dispersion-Free Measure of Reservoir Fluid Drift Rate

Author(s):  
S.L. Wellington ◽  
J.F. Simmons ◽  
S.K. Hara ◽  
E.A. Richardson
2011 ◽  
Vol 4 ◽  
pp. 5044-5049 ◽  
Author(s):  
Yingqi Zhang ◽  
Barry Freifeld ◽  
Stefan Finsterle ◽  
Martin Leahy ◽  
Jonathan Ennis-King ◽  
...  

2011 ◽  
Vol 28 (2) ◽  
pp. 493-501 ◽  
Author(s):  
Brian J. Anderson ◽  
Masanori Kurihara ◽  
Mark D. White ◽  
George J. Moridis ◽  
Scott J. Wilson ◽  
...  

2011 ◽  
Vol 121-126 ◽  
pp. 1249-1253
Author(s):  
Guo Yun Wu ◽  
Jiao Li

Multi-layered unconsolidated sandstone gas reservoir is featured by unconsolidated lithology, interbeded gas-water zones and active edge water. Irrational production proration will lead to water breakthrough and sand inflow(AOF) is already incompetent in solving problems nowadays. Based on multipoint well test deliverability analysis, production data dynamic analysis, single well controlled reserves and critical situation of inflow calculation, and combining the calculation of minimum liquid hold-up gas rate an maximum erosion gas rate, meanwhile considering balanced gas recovery factor, balanced pressure drop, safe sand inflow and safe liquid hold-up, the multi-factor production plan has been set up, which is improved and adjusted by integrating water influx performance and years of stable production, through gas reservoir numerical simulation. A scientific and rational production proration pattern particularly for this type of gas reservoir has been determined. The reservoir simulation results of case study show that the water production in gas well can be controlled and the gas reservoir sustained stable production can last more than 1.3 year.


Author(s):  
Muhammad Dimas Adiguna ◽  
Muhammad Taufiq Fathaddin ◽  
Hari Karyadi Oetomo

<p>Well test analysis was conducted to determine the characteristics of reservoir rocks. From the well test analysis it is obtained information such as permeability and skin factor. The skin factor is a quantity indicating the presence of disturbance in the formation as a result of drilling operations, production operations, perforating casing, gravel pack installation, remedial well work, acidizing operation, and hydraulic fracture operation. The objective of this research is to determine the relationship of multi rate test method of Jones, Blount, and Glaze and the comparison result among pressure buildup test and pressure drawdown test analyses, using Kappa software or manually calculation. Therefore, in this paper will study the method of Jones, Blount, and Glaze and the well test analyses to determine further work of the wells on block X. The data used in this paper is secondary data, namely the results of well test from three wells.Applying drawdown test analysis of A, Y, and Z wells yield skin factor values of 3.37; 27.10; and -1.39. Where in buildup pressure Horner method analysis of A, Y, and Z wells yield skin factor values of 16.10; 11.18; and -2.07. In the method of type curve derivatives the drawdown analysis of A, Y, and Z wells yield skin factor values of 7.04; 11.18; and 4.20. The analysis of pressure buildup, of A, Y, and Z wells yield skin factor value of 25.11; 14.47; and 1.93. In the analysis using <br /> Kappa software of A, Y, and Z wells yield skin factor values of 5.56; 10.2; and 2.00. The skin results of these wells indicate the formation damages. The Short Term Multiple Rate Flow Tests analysis using Jones, Blount, and Glaze method from the plots of Δp/q versus oil flow rate (q) are b’ high and b’/b low. These indicate that the three wells are encountering formation damages. The Jones, Blount, and Glaze method as well as the pressure buildup and pressure drawdown test analyses in block X indicate that these wells require to be stimulated.</p>


Author(s):  
Tomislav Kurevija ◽  
Kristina Strpić ◽  
Sonja Koščak-Kolin

Theory of the Thermal Response Testing (TRT) is a well-known part of sizing process of the geothermal exchange system. Multiple parameters influence accuracy of effective ground thermal conductivity measurement; like testing time, variable power, climate interferences, groundwater effect etc. To improve accuracy of the TRT we introduced procedure to additionally analyze falloff temperature decline after power test. Method is based on a premise of analogy between TRT and petroleum well testing, since origin of both procedures lies in diffusivity equation with solutions for heat conduction or pressure analysis during radial flow. Applying pressure build-up test interpretation technique to the borehole heat exchanger testing, greater accuracy could be achieved since ground conductivity could be obtained from this period. Analysis was conducted on coaxial exchanger with five different power steps, and with both direct and reverse flow regime. Each test was set with 96hr of a classical TRT, followed by 96hr of temperature decline, making it almost 2000 hours of cumulative borehole testing. Results showed that ground conductivity value could vary as much as 25% depending on test time, seasonal period and power fluctuations while thermal conductivity obtained from a falloff period gives more stable values with only 10% value variation.


2021 ◽  
Author(s):  
Mohammad J. Ahsan ◽  
Shaikha Al-Turkey ◽  
Nitin M. Rane ◽  
Fatemah A. Snasiri ◽  
Ahmed Moustafa ◽  
...  

Abstract Objectives/Scope The acquisition of mud gas data for well control and gathering of geological information is a common practice in oil and gas drilling. However, these data are scarcely used for reservoir evaluation as they are presumably considered as unreliable and non-representative of the formation content. Recent development in gas extraction from drilling mud and analyzing equipment has greatly improved the data quality. Combined with proper analysis and interpretation, these new datasets give valuable information in real-time lithological changes, hydrocarbons content, water contacts and vertical changes in fluid over a pay interval. Methods, Procedures, Process Post completion, Mud logging data have been compared with PVT results and they have shown excellent correlation on the C1-C5 composition, confirming the consistency between gas readings and reservoir fluid composition. Having such information in real time has given the oil company the opportunity to optimize its operations regarding formation evaluation, e.g downhole sampling, wireline logging or testing programs. Formation fluid is usually obtained during well tests, either by running downhole tools into the well or by collecting the fluid at surface. Therefore, its composition remains unknown until the arrival of the PVT well test results. This case intends to use mud gas information collected while drilling to predict information about the reservoir fluid composition in near real time. To achieve this goal we compared mud gas data collected while drilling with reservoir fluid compositional results. Pressure volume temperature (PVT) analysis is the process of determining the fluid behaviors and properties of oil and gas samples from existing wells. Results, Observations, Conclusions The reason any oil and gas company decides to drill a well is to turn the project into an oil-producing asset. But the value of the oil extracted from a single well is not the same as the value of the oil produced from another. The makeup of the oil, which can be determined from the compositional analysis, is an important piece of the equation that determines how profitable the play will be. The compositional analysis will determine just how much of each type of petroleum product can be produced from a single barrel of oil from that wells. Novel/Additive information Formation samples were obtained from offset wells in the Marrat Formation. These datasets gave valuable indications on fluid properties and phase behavior in the reservoir and provided strong base for reservoir engineering analysis, simulation and surface facilities design. The comparison of the gas data to PVT results gives a good match for reservoir fluid finger print, early acquisition of this data will help for decision enhancement for field development.


2018 ◽  
Author(s):  
Janiche Beeder ◽  
Anita Skarstad ◽  
Dhruva Prasad ◽  
Ana Todosijevic ◽  
Eva Mahler ◽  
...  
Keyword(s):  

2017 ◽  
Author(s):  
H. Urkedal ◽  
O. M. Selle ◽  
O. J. Seime ◽  
Ø. Brandal ◽  
T. Grøstad ◽  
...  
Keyword(s):  

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