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Downhole fluid analysis (DFA), together with focused-sampling techniques and wireline-formation-tester (WFT) tools, provides real-time measurements of reservoir-fluid properties such as the compositions of four or five hydrocarbon components/groups and gas/oil ratio (GOR). With the introduction of a new generation of DFA tools that analyze fluids at downhole conditions, the accuracy and reliability of the DFA measurements are improved significantly. Furthermore, downhole measurements of live-fluid densities are integrated into the new tools. Direct pressure and temperature measurements of the flowline ensure capture of accurate fluid conditions. To enhance these advanced features further, a new method of downhole fluid characterization based on the equationof-state (EOS) approach is proposed in this work.The motivation for this work is to develop a new approach to maximize the value of DFA data, perform quality assurance or quality control of DFA data, and establish a fluid model for DFA log predictions along with DFA fluid profiling. The basic inputs from DFA measurements are weight percentages of CO 2 , C 1 , C 2 , C 3 -C 5, and C 6+ , along with live-fluid density and viscosity. A new method was developed in this work to delump and characterize the DFA measurements of C 3 -C 5 (or C 2 -C 5 ) and C 6+ into full-length compositional data. The full-length compositional data predicted by the new method were compared with the laboratory-measured gas chromatograph data up to C 30+ for more than 1,000 fluids, including heavy oil, conventional black oil, volatile oil, rich gas condensate, lean gas condensate, and wet gas. These fluids have a GOR range of 8-140,000 scf/STB and a gravity range from 9 to 50°API. A good agreement was achieved between the delumped and gas-chromatograph compositions.In addition, on the basis of the delumped and characterized full-length compositional data, EOS models were established that can be applied to predict fluid-phase behavior and physical properties by virtue of DFA data as inputs. The EOS predictions were validated and compared with the laboratory-measured pressure/volume/temperature (PVT) properties for more than 1,000 fluids. The GOR, formation-volume factor, density, and viscosity predictions were in good agreement with the laboratory measurements. The established EOS model then was able to predict other PVT properties, and the results were compared with the laboratory measurements in good agreement.Consequently, the established EOS models have laid a solid foundation for DFA log predictions in DFA fluid profiling, which has been integrated successfully with DFA measurements in real time to delineate compositional and asphaltene gradients in oil columns and to determine reservoir connectivity. The latter results are beyond the scope of this work and have been given in separate technical papers.
Downhole fluid analysis (DFA), together with focused-sampling techniques and wireline-formation-tester (WFT) tools, provides real-time measurements of reservoir-fluid properties such as the compositions of four or five hydrocarbon components/groups and gas/oil ratio (GOR). With the introduction of a new generation of DFA tools that analyze fluids at downhole conditions, the accuracy and reliability of the DFA measurements are improved significantly. Furthermore, downhole measurements of live-fluid densities are integrated into the new tools. Direct pressure and temperature measurements of the flowline ensure capture of accurate fluid conditions. To enhance these advanced features further, a new method of downhole fluid characterization based on the equationof-state (EOS) approach is proposed in this work.The motivation for this work is to develop a new approach to maximize the value of DFA data, perform quality assurance or quality control of DFA data, and establish a fluid model for DFA log predictions along with DFA fluid profiling. The basic inputs from DFA measurements are weight percentages of CO 2 , C 1 , C 2 , C 3 -C 5, and C 6+ , along with live-fluid density and viscosity. A new method was developed in this work to delump and characterize the DFA measurements of C 3 -C 5 (or C 2 -C 5 ) and C 6+ into full-length compositional data. The full-length compositional data predicted by the new method were compared with the laboratory-measured gas chromatograph data up to C 30+ for more than 1,000 fluids, including heavy oil, conventional black oil, volatile oil, rich gas condensate, lean gas condensate, and wet gas. These fluids have a GOR range of 8-140,000 scf/STB and a gravity range from 9 to 50°API. A good agreement was achieved between the delumped and gas-chromatograph compositions.In addition, on the basis of the delumped and characterized full-length compositional data, EOS models were established that can be applied to predict fluid-phase behavior and physical properties by virtue of DFA data as inputs. The EOS predictions were validated and compared with the laboratory-measured pressure/volume/temperature (PVT) properties for more than 1,000 fluids. The GOR, formation-volume factor, density, and viscosity predictions were in good agreement with the laboratory measurements. The established EOS model then was able to predict other PVT properties, and the results were compared with the laboratory measurements in good agreement.Consequently, the established EOS models have laid a solid foundation for DFA log predictions in DFA fluid profiling, which has been integrated successfully with DFA measurements in real time to delineate compositional and asphaltene gradients in oil columns and to determine reservoir connectivity. The latter results are beyond the scope of this work and have been given in separate technical papers.
The combination of low permeability, oil base mud and near saturated oils presents one of the most challenging environments for fluid sampling with formation testers. Low permeability indicates that the drawdown while sampling will be high but this is contra-indicated for oils that are close to saturation pressure. A logical response is to therefore reduce the flow rate but in wells drilled with OBM an unacceptably long clean-up time would result.The Pinda formation in Block 2 offshore Angola presents just such a challenge. Formation mobilities are in the low double or single-digits, saturation pressure is usually within a few hundred psi of formation pressure and borehole stability indicates that the wells must be drilled with oil base mud.In the course of several penetrations of the Pinda formation a number of attempts were made to acquire representative formation samples but were stymied due to either excessive drawdowns that corrupted the fluid or by excessive contamination levels that rendered the samples unsuitable for laboratory analysis. Clearly a more flexible solution was required.In this paper we review the learnings from previous attempts in the Pinda. We show the pre-job modeling that was done to predict the required flow rates and the anticipated drawdowns. Ultimately a two-step solution was used. We first ran a high efficiency pretest-only WFT in order to quickly gather formation pressure data and mobility data. This data was then used to design the sampling string which was a combination of an inflatable dual packer with focused probe. We discuss the decision process that governed the choice of pump, displacement unit, probe and packer. We pay particular attention to the unique pump configurations that were required to effectively manage the drawdowns when using the probe and also to allow sufficient flow rate when using the dual packer.We conclude with a summary of recommendations and lessons learned for sampling in such an environment.
The new generation of wireline formation testing fluid analyzer presented in this paper integrates in-situ optical fluid analysis device with a oscillating mechanical sensor providing downhole density and viscosity measurements in real-time at reservoir conditions. Fluid density is measured primarily by measuring corresponding changes in the vibrational frequency of the oscillator while viscosity is determined primarily by monitoring the decay time of the resonance. The formation testing wireline tool was utilized in combination with the new optical fluid analyzer to identify the fluid types downhole in the complex lithology reservoir drilled with an oil based mud. Focused sampling was essential to reduce mud contamination thereby enabling accurate determination of fluid compositions and properties such as density and viscosity. The in-situ optical fluid analyses provide the quantitative hydrocarbon compositions in terms of C1, C2, C3-C5, C6+, CO2 along with the water fraction in both oil based mud (OBM) and water based mud (WBM) wells. Gas Oil Ratio (GOR) or Condensate Gas Ratio (CGR) is also computed from the optical analyses. The density measurement provided by the mechanical sensor brings additional value in comparison with pressure gradient analyses and is critical to evaluating thin, tight or depleted flow units. The viscosity measurement, the first downhole measurement of its kind, is particularly important as viscosity is one of the key fluid properties that directly affect the producibility of the flow units. A field test was conducted in an onshore reservoir in the Sultanate of Oman. It was performed in a well having oil, gas and water zones. As a result of the quantitative downhole compositional analyses and fluid property measurements, single phase samples with low mud filtrate contaminations were collected. The PVT laboratory results served as a valuable comparison for the fluid composition as well as density and viscosity measurements. Introduction Understanding the nature of the hydrocarbon during exploration and field development is of paramount importance for field development decision. Once understood, this information is then used to optimize the reservoir production strategies by planning well placement, proper completion infrastructure and suitable facilities design. Fluid type, fluid composition, GOR, CGR, density and viscosity are among the fluid properties that are critical to field development planning. Because the extent of fluid complexity is unknown prior to wireline logging, it is virtually impossible to match the complexity of the wireline sample analysis job to the complexity of the reservoir fluids unless Downhole Fluid Analysis (DFA) is used. DFA enables operators to adjust the complexity of the sample analysis job in real time in accordance with cost-benefit assessments. The new wireline formation testing fluid analyzer presented in this paper integrates an in-situ optical fluid analyzer device that produces compositional fluid properties measurements as well as corresponding derivative values such as GOR. It is integrated with an in-situ mechanical sensor providing downhole density and viscosity (Vibrating Rod) measurements. Downhole density and viscosity measurements are major new additions to the suite of downhole fluid analysis measurements that previously had been based exclusively on optics. All these acquisitions are obtained in real-time and at reservoir conditions. The focused sampling tool string combined with the new wireline formation testing fluid analyzer and Vibrating Rod was used first time in a pilot hole in an Oil Field in the Sultanate of Oman. The acquisition results were utilized making timely decisions on choosing a horizontal well depth drilled from the pilot hole.
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