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fax 01-972-952-9435. AbstractDownhole fluid analysis (DFA) has emerged as a key technique for characterizing the distribution of reservoir fluid properties and determining zonal connectivity across the reservoir. Information from profiling the reservoir fluids enables sealing barriers to be proven and compositional grading to be quantified; this information cannot be obtained from conventional wireline logs. The DFA technique has been based largely on optical spectroscopy, which can provide estimates of filtrate contamination, gas/oil ratio (GOR), pH of formation water, and a hydrocarbon composition in four groups: methane (C1), ethane to pentane (C2-5), hexane and heavier hydrocarbons (C6+), and carbon dioxide (CO 2 ). For single-phase assurance it is possible to detect gas liberation (bubble point) or liquid dropout (dew point) while pumping reservoir fluid to the wellbore, before filling a sample bottle.In this paper, a new DFA tool is introduced which greatly increases the accuracy of these measurements. The tool uses a grating spectrometer in combination with a filter-array spectrometer. The range of compositional information is extended from four groups to five groups: methane (C1), ethane (C2), propane to pentane (C3-5), C6+, and CO 2 . These spectrometers, together with improved compositional algorithms, now make possible a quantitative analysis of reservoir fluid with much greater accuracy and repeatability. This accuracy enables comparison of fluid properties between wells for the first time, thus extending the application of fluid profiling from a single well to multi-well. Field-based fluid characterization is now possible.In addition a new measurement is introduced -in-situ density of reservoir fluid. Measuring this property downhole at reservoir conditions of pressure and temperature provides important advantages over surface measurements. The density sensor is combined in a package that includes the optical spectrometers, fluid resistivity, pressure, temperature, and fluorescence measurements that all play a vital role in determining the exact nature of the reservoir fluid.Extensive tests at a pressure/volume/temperature (PVT) laboratory are presented to illustrate sensor response in a large number of live fluid samples. These tests of known fluid compositions were conducted under pressurized and heated conditions to emulate reservoir conditions. In addition several field examples are presented to illustrate applicability in different environments.
fax 01-972-952-9435. AbstractDownhole fluid analysis (DFA) has emerged as a key technique for characterizing the distribution of reservoir fluid properties and determining zonal connectivity across the reservoir. Information from profiling the reservoir fluids enables sealing barriers to be proven and compositional grading to be quantified; this information cannot be obtained from conventional wireline logs. The DFA technique has been based largely on optical spectroscopy, which can provide estimates of filtrate contamination, gas/oil ratio (GOR), pH of formation water, and a hydrocarbon composition in four groups: methane (C1), ethane to pentane (C2-5), hexane and heavier hydrocarbons (C6+), and carbon dioxide (CO 2 ). For single-phase assurance it is possible to detect gas liberation (bubble point) or liquid dropout (dew point) while pumping reservoir fluid to the wellbore, before filling a sample bottle.In this paper, a new DFA tool is introduced which greatly increases the accuracy of these measurements. The tool uses a grating spectrometer in combination with a filter-array spectrometer. The range of compositional information is extended from four groups to five groups: methane (C1), ethane (C2), propane to pentane (C3-5), C6+, and CO 2 . These spectrometers, together with improved compositional algorithms, now make possible a quantitative analysis of reservoir fluid with much greater accuracy and repeatability. This accuracy enables comparison of fluid properties between wells for the first time, thus extending the application of fluid profiling from a single well to multi-well. Field-based fluid characterization is now possible.In addition a new measurement is introduced -in-situ density of reservoir fluid. Measuring this property downhole at reservoir conditions of pressure and temperature provides important advantages over surface measurements. The density sensor is combined in a package that includes the optical spectrometers, fluid resistivity, pressure, temperature, and fluorescence measurements that all play a vital role in determining the exact nature of the reservoir fluid.Extensive tests at a pressure/volume/temperature (PVT) laboratory are presented to illustrate sensor response in a large number of live fluid samples. These tests of known fluid compositions were conducted under pressurized and heated conditions to emulate reservoir conditions. In addition several field examples are presented to illustrate applicability in different environments.
Summary Downhole fluid analysis (DFA) has emerged as a key technique for characterizing the distribution of reservoir-fluid properties and determining zonal connectivity across the reservoir. Information from profiling the reservoir fluids enables sealing barriers to be proved and compositional grading to be quantified; this information cannot be obtained from conventional wireline logs. The DFA technique has been based largely on optical spectroscopy, which can provide estimates of filtrate contamination, gas/oil ratio (GOR), pH of formation water, and a hydrocarbon composition in four groups: methane (C1), ethane to pentane (C2-5), hexane and heavier hydrocarbons (C6+), and carbon dioxide (CO2). For single-phase assurance, it is possible to detect gas liberation (bubblepoint) or liquid dropout (dewpoint) while pumping reservoir fluid to the wellbore, before filling a sample bottle. In this paper, a new DFA tool is introduced that substantially increases the accuracy of these measurements. The tool uses a grating spectrometer in combination with a filter-array spectrometer. The range of compositional information is extended from four groups to five groups: C1, ethane (C2), propane to pentane (C3-5), C6+, and CO2. These spectrometers, together with improved compositional algorithms, now make possible a quantitative analysis of reservoir fluid with greater accuracy and repeatability. This accuracy enables comparison of fluid properties between wells for the first time, thus extending the application of fluid profiling from a single-well to a multiwall basis. Field-based fluid characterization is now possible. In addition, a new measurement is introduced--in-situ density of reservoir fluid. Measuring this property downhole at reservoir conditions of pressure and temperature provides important advantages over surface measurements. The density sensor is combined in a package that includes the optical spectrometers and measurements of fluid resistivity, pressure, temperature, and fluorescence that all play a vital role in determining the exact nature of the reservoir fluid. Extensive tests at a pressure/volume/temperature (PVT) laboratory are presented to illustrate sensor response in a large number of live-fluid samples. These tests of known fluid compositions were conducted under pressurized and heated conditions to simulate reservoir conditions. In addition, several field examples are presented to illustrate applicability in different environments. Introduction Reservoir-fluid samples collected at the early stage of exploration and development provide vital information for reservoir evaluation and management. Reservoir-fluid properties, such as hydrocarbon composition, GOR, CO2 content, pH, density, viscosity, and PVT behavior are key inputs for surface-facility design and optimization of production strategies. Formation-tester tools have proved to be an effective way to obtain reservoir-fluid samples for PVT analysis. Conventional reservoir-fluid analysis is conducted in a PVT laboratory, and it usually takes a long time (months) before the results become available. Also, miscible contamination of a fluid sample by drilling-mud filtrate reduces the utility of the sample for subsequent fluid analyses. However, the amount of filtrate contamination can be reduced substantially by use of focused-sampling cleanup introduced recently in the next-generation wireline formation testers (O'Keefe et al. 2008). DFA tools provide results in real time and at reservoir conditions. Current DFA techniques use absorption spectroscopy of reservoir fluids in the visible-to-near-infrared (NIR) range. The formation-fluid spectra are obtained in real time, and fluid composition is derived from the spectra on the basis of C1, C2-5, C6+, and CO2; then, GOR of the fluid is estimated from the derived composition (Betancourt et al. 2004; Fujisawa et al. 2002; Dong et al. 2006; Elshahawi et al. 2004; Fujisawa et al. 2008; Mullins et al. 2001; Smits et al. 1995). Additionally, from the differences in absorption spectrum between reservoir fluid and filtrate of oil-based mud (OBM) or water-based mud (WBM), fluid-sample contamination from the drilling fluid is estimated (Mullins et al. 2000; Fadnes et al. 2001). With the DFA technique, reservoir-fluid samples are analyzed before they are taken, and the quality of fluid samples is improved substantially. The sampling process is optimized in terms of where and when to sample and how many samples to take. Reservoir-fluid characterization from fluid-profiling methods often reveals fluid compositional grading in different zones, and it also helps to identify reservoir compartmentalization (Venkataramanan et al. 2008). A next-generation tool has been developed to improve the DFA technique. This DFA tool includes new hardware that provides more-accurate and -detailed spectra, compared to the current DFA tools, and includes new methods of deriving fluid composition and GOR from optical spectroscopy. Furthermore, the new DFA tool includes a vibrating sensor for direct measurement of fluid density and, in certain environments, viscosity. The new DFA tool provides reservoir-fluid characterization that is significantly more accurate and comprehensive compared to the current DFA technology.
The paper demonstrates how to establish a compositional gradient in Dhirubhai-26 (MA) retrograde gas-condensate reservoir situated in a deep water territory of KG Basin, India, with the help of real-time Downhole Fluid Analysis (DFA).The reservoir consisted of an oil rim sandwiched by a large gas cap and bottom water. Very low contamination samples were captured downhole, using a Wireline Formation Tester (WFT), in Single Phase PVT bottles. This success was achieved through the combined use of DFA results, PVT data and a tuned Equation of State (EoS). PR Peneloux (T) EoS was tuned to the PVT data and used to populate the PVT properties of the reservoir. The resultant fluid composition versus depth was correlated to the DFA results to verify the EoS simulated compositional gradation. Subsequently a reliable GOC was established using the combined result of WFT pretest derived gradients, PVT property derived gradients and saturation pressure curves. Establishing the existence or non-existence of compositional gradient and reservoir compartmentalization in this reservoir were key prerequisites for the formulation of an optimum Field Development Plan (FDP) and estimation of the associated financial implications. The methodology adopted in this paper is applicable to any gas-condensate reservoir that exhibits similar PVT properties. It would help to evaluate a more accurate in-place reserve estimate and reduce the reservoir risk, which in turn would lead to an optimum FDP (that would maximize the oil recovery and returns). The paper highlights the value of wireline conveyed DFA tools and latest wireline sampling methods coupled with a tuned EoS for an accurate PVT description of complex reservoir fluids. It cannot only detect the presence of compositional gradients at an early time but also help refine the PVT model to establish the gradation in composition, thus providing a cost-effective solution for deep water ventures. Introduction Formulation of an optimal field development plan mandates a proper PVT description of reservoir fluids, among many other requirements. Recently it has been observed in quite a few publications10,12 that reservoir fluids from a single hydrocarbon (HC) column often exhibit complex compositional behaviors due to the interplay between various forces like gravitational, thermal and chemical, just to name a few. While composition variation versus depth is more common, areal variation has also been reported4. Prevalence of these forces, either independently or in combination, may result in a varying HC composition with depth. Lars et. al.3, in their treatise have reviewed all the major mechanisms responsible for a compositional gradient in hydrocarbon reservoirs and existing PVT models for the different mechanisms, published till date. In their review they have concentrated only on the Zero-Mass flux models. However several published papers5,6,7,8,9 exist where mathematical models for convection, diffusion and mass flux have been formulated. Normally, for lighter oils (>35°API), compositional grading is caused by gravity induced component migration that balances the gravitationall and chemical forces2. For moderately heavier oils (20–30°API), asphaltene segregation2 is a primary driving force, and in the case of heavy oils (< 20°API) it is often the aftermath of loss of light ends through bio-degradation2. The existing practice for investigating these complexities of reservoir fluid distribution includes laboratory experiments performed on multi-depth samples of representative formation fluid. But often a conclusive quantification of this fluid behavior may not be realized due to the lack of a sufficient number of samples versus depth. While specialized mathematical/statistical analyses10 of the static pressure surveys help in revealing possible cases of compositional gradient, induction of latest DFA tools have appended real-time compositional fluid analysis and fluid scanning to the list of gears that help ascertain the presence of compositional gradient with solidarity17,18. The ability of DFA tools to estimate compositional and PVT properties, in real-time, speeds up the diagnostics and also allows contamination monitoring (which is indispensable for a representative HC sample from a well drilled with OBM). Once the mechanism of the compositional gradient is identified, the fluid system needs to be modeled using a compositional model. In certain cases a 3D Black-oil model2 may also be used as per Hanafy et. al., but the application is limited to a black oil system where there is only a slight variation in its heavy ends with depth. An accurate formation fluid composition, required for the EOS definition, can be obtained either from the compositional analysis of a low contamination bottomhole sample or through a recombined sample (recombined using the Equilibrium Contact Mixing Method)11. The EoS model presented in this paper is based on the bottom-hole sample collected at a very low draw-down (approx. 8 psia) and thus was considered a representative sample from the test depth. The concept of Equilibrium Contact Mixing can be used in further simulation work to obtain a representative composition at GOC to represent the whole reservoir. The final step in the exercise is running a composition versus depth simulation using a PVT simulator (based on the Schulte24 saturation pressure gradient model) and the tuned EOS. The fluid compositions and DFA results serve as hard data used to test the validity of the composition versus depth experiment. With the existing commercial PVT simulators, temperature gradient may be used as a means of fine tuning the composition-depth experiment results to match the lab/DFA results from the fluid sampling/scanning stations. Downhole Fluid Analysis (DFA) Optical spectroscopy based fluid analysis is an industry accepted technology widely used for discriminating between different types of fluids downhole, viz. oil, gas and water, based on the difference in their absorption peaks in the Near Infrared Region (NIR)13, as seen in Figure 2. Contamination of bottomhole liquid HC samples, due to miscible Oil Based Mud (OBM) filtrate, can also be estimated using the results from these tools14,15. Recent developments in DFA technology have enabled the real-time fluid characterization of reservoir fluids into five compositional groups (C1, C2-C5, C6+, CO2 & water) using NIR spectroscopy19,20 and differentiation between gaseous and liquid phase using the principle of fluorescence Figure 3. Employing a suitable combination of DFA devices provides a timely analysis of the reservoir fluids, with robust results, and is invaluable for ensuring an appropriate 'Chain-of-Custody' for downhole samples. First-hand knowledge of the fluid characteristics while it is being sampled results in a big logistical reward - a more flexible sampling program which has the potential of significant cost savings in deep water territories. The Live Fluid Analyzer13 (LFA)* and Compositional Fluid Analyzer19,20 (CFA)*, used in combination, provide both in-situ characterization of reservoir fluids and quantification of filtrate contamination in real time. In addition to that, the CFA, with its fluorescence detector, is an invaluable instrument to aid acquisition of downhole samples of a retrograde gas, under single-phase conditions. Fluid properties like GOR/CGR, derived indirectly from the NIR absorption characteristics of the flowing fluids, are very useful as OBM contamination level indicators as well. Background of operations The Dhirubhai-26 (MA) oil-field, situated offshore Andhra Pradesh, India is a deep marine reservoir located in an upper Jurassic to lower Cretaceous zone. It is a fluvial to lacustrine deposit with the principal reservoir sections dominated by areally restricted channel sands. Thin, laterally extensive alternations of siltstone and mudstone also constitute sections of the reservoir.
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