WO2006116088A1 - A method and apparatus for estimating of fluid contamination downhole - Google Patents
A method and apparatus for estimating of fluid contamination downhole Download PDFInfo
- Publication number
- WO2006116088A1 WO2006116088A1 PCT/US2006/015096 US2006015096W WO2006116088A1 WO 2006116088 A1 WO2006116088 A1 WO 2006116088A1 US 2006015096 W US2006015096 W US 2006015096W WO 2006116088 A1 WO2006116088 A1 WO 2006116088A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- fluid
- time
- value
- terminal
- fit
- Prior art date
Links
- 239000012530 fluid Substances 0.000 title claims abstract description 109
- 238000000034 method Methods 0.000 title claims abstract description 68
- 238000011109 contamination Methods 0.000 title claims description 32
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 48
- 238000005259 measurement Methods 0.000 claims abstract description 27
- 239000000523 sample Substances 0.000 claims description 55
- 238000002835 absorbance Methods 0.000 claims description 44
- 230000003287 optical effect Effects 0.000 claims description 31
- 239000000706 filtrate Substances 0.000 description 23
- 238000005086 pumping Methods 0.000 description 23
- 230000009545 invasion Effects 0.000 description 16
- 230000008569 process Effects 0.000 description 12
- 230000000704 physical effect Effects 0.000 description 11
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 11
- 230000006870 function Effects 0.000 description 10
- 230000035699 permeability Effects 0.000 description 9
- 238000010521 absorption reaction Methods 0.000 description 8
- 238000012544 monitoring process Methods 0.000 description 8
- 230000007704 transition Effects 0.000 description 8
- 238000013459 approach Methods 0.000 description 7
- 230000007423 decrease Effects 0.000 description 7
- 239000003921 oil Substances 0.000 description 7
- 239000002245 particle Substances 0.000 description 7
- 239000010779 crude oil Substances 0.000 description 6
- 238000004088 simulation Methods 0.000 description 6
- 239000004576 sand Substances 0.000 description 5
- 125000003118 aryl group Chemical group 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 230000001186 cumulative effect Effects 0.000 description 4
- 238000003909 pattern recognition Methods 0.000 description 4
- 238000005553 drilling Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 238000005096 rolling process Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 229910052594 sapphire Inorganic materials 0.000 description 3
- 239000010980 sapphire Substances 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 2
- 150000001875 compounds Chemical class 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 230000003534 oscillatory effect Effects 0.000 description 2
- 125000006850 spacer group Chemical group 0.000 description 2
- WFKWXMTUELFFGS-UHFFFAOYSA-N tungsten Chemical compound [W] WFKWXMTUELFFGS-UHFFFAOYSA-N 0.000 description 2
- 229910052721 tungsten Inorganic materials 0.000 description 2
- 239000010937 tungsten Substances 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002592 echocardiography Methods 0.000 description 1
- 239000003995 emulsifying agent Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000002189 fluorescence spectrum Methods 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000002244 precipitate Substances 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 229920002994 synthetic fiber Polymers 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
- E21B49/08—Obtaining fluid samples or testing fluids, in boreholes or wells
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/10—Locating fluid leaks, intrusions or movements
- E21B47/113—Locating fluid leaks, intrusions or movements using electrical indications; using light radiations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
Definitions
- TITLE A METHOD AND APPARATUS FOR
- the invention relates generally to a method and apparatus for quantifying fluid contamination as an indication of sample cleanup in real time in a wellbore environment.
- the invention is a method and apparatus for measurement of physical properties of fluid being pumped from a formation surrounding a wellbore by a wireline or monitoring while drilling tool to estimate sample cleanup or to predict the time at which a sample having a desired purity can be obtained.
- optical and physical properties of the sampled fluid such as optical absorption, fluorescence, refractive index, viscosity, density, sound speed, and bulk modulus.
- Measuring these properties of the fluid therefore provides qualitative insight into a fluid sample's purity but does not provide a quantitative value, f p , for the fluid sample.
- the fraction of fluid contamination does not necessarily drop to zero.
- an optical or a physical property stops to substantially change the fraction of contamination can be far from zero and in some cases can be as high as 45%. In that case, the terminal purity maybe of the order of 55%.
- ft p is defined as the fraction of the terminal purity, where the terminal purity is the purity achieved at very long pumping times and which is usually less than 100%.
- Mullins et al. assume that the rate of sample cleanup as measured by observing optical density progresses as f 5112 where / is time. This clean up rate is based on empirical experience in the Gulf of Mexico and elsewhere. However, Mullins et al. also states that, for extended pumping durations, the sample cleanup rate for shallow invasion progresses as f 1/3 and that the cleanup rate for deeper invasions progresses as f 2 ⁇ .
- f 1/3 the cleanup rate for shallow invasions
- f 2 ⁇ One assumption of a sample clean rate off 5/12 can be rigid and inapplicable to real time situations. Moreover, using time as a fitting parameter necessarily assumes a constant pumping rate.
- the present invention provides a method and apparatus of quantifying sample clean up in real time from measurement data over time (or over volume) of some optical or physical properties of fluid samples taken from a formation surrounding a borehole.
- Sample fluid is extracted from the formation surrounding the borehole.
- the composition of the sampled fluid changes, altering the measured values of an optical or physical property for the sampled fluid.
- a method and apparatus that fit fluid measurement data to a non-asymptotic curve.
- a non-asymptotic curve is a curve (e.g., a power series approximation), which provides an improved fit to the data over the typical pumping time and, which can also be successfully extrapolated to several times that pumping time, but which approaches plus or minus infinity at infinite times.
- Another example of a non-asymptotic curve is an equation that has an oscillatory component, such as a sine wave, which never reaches a fixed limit. The sine wave can be adjusted in frequency, phase and amplitude to provide an improved fit.
- a method and apparatus are provided that perform pattern recognition of a straight line to a best fit of the measured data in log-log space.
- spikes in the data are removed first.
- the remaining data are piecewise smoothed over a rolling interval of 100 or more neighboring points using a smoothing function.
- AV A (bi + 2 b 2 t) / (b 0 + bit + b 2 t 2 ) can be determined.
- the method and apparatus perform a series of regressions using different estimates of Ao but do not actually calculate Ao, itself. For example, one can start with the current value, A, at a time t, as the first estimate of A 0 , then proceed to a slightly higher value of A + ⁇ , then to an even higher value of A + 2 ⁇ , and so on.
- the A 0 value for which the fit to the measured data is closest to the shape of a straight line (based on the highest coefficient of determination, or i?-squared value) then becomes the best estimate of an Ao value.
- a method and apparatus are provided that fit a differentiable curve to measurement data or physical property data derived from the measurement data. The present invention then estimates f tp from the ratio of (dA/dt) to A.
- a method and apparatus are provided that fit an asymptotic curve to difference of two responses such as the difference of two absorbances associated with different wavelengths (optical channels) rather than to an absorbance itself. Using an absorbance difference removes the baseline offsets caused by passing sand particles or bubbles.
- Figure 1 is a diagram of the Fluid Characterization Module
- Figure 2 is an illustration of an embodiment of the present invention deployed in a borehole using a plurality of sources and sensors;
- FIGS. 3-10 are charts of functions performed in embodiments of the invention.
- Figure 11 is an illustration of an embodiment of the invention using an acoustic transducer
- Figure 12 is an illustration of an embodiment of the invention using a pyroelectric array
- Figure 13 is an illustration of a function performed according to another embodiment of the invention.
- FIG. 1 illustrates a schematic representation for a downhole fluid characterization module 100 for obtaining and analyzing optical measurement data.
- a light source 101 e.g. tungsten light bulb
- the light can be collimated by a collimating lens device 103 lying between the light source 101 and the fluid 110.
- the collimated light 111 is incident generally perpendicular to a first sapphire window 301 adjacent sample 110.
- Sapphire windows 301 and 303 lie generally perpendicular to the collimated beam of light and are separated by a gap or channel 304 enabling a fluid 110 to flow between them.
- An optical property of the fluid for example, including but not limited to reflectance, absorbance and fluorescence of light from the fluid is measured over time by an optical sensor, such as but not limited to a spectrometer 105.
- a processor 113 is provided to estimate fluid properties from the optical measurements.
- the existing tools ( Figure 1) can be fitted with a UV or infrared light source 112, which can be turned on when the tungsten light source 101 is turned off.
- the same spectrometer for example, comprising single wavelength filters over photodiodes, enables collecting the crude oil fluorescence and infrared spectra.
- the processor 113 includes memory and performs calculations using equations to estimate fluid characteristics or properties, such as percent contamination, from the optical measurements for the fluid as described herein. Power to the various components of the module 100 is provided by a power supply.
- additional measurements from additional sources and sensors can be added, including but not limited to a flexural mechanical resonator, acoustic transducer, pyroelectric array, infrared light source, and sensors to measure retroactive index. More detailed schematics of the acoustic transducer and the pyroelectric array are shown in Figs. 11 and 12.
- These additional sources and sensors can be provided for measurements of fluid parameters including but not limited to viscosity, density, sound speed, fluorescence, attenuated, total reflectance, refractive index, bulk modulus and resistivity. These measurements can be monitored over time to estimate a characteristic of the fluid, including fractional terminal purity or fractional terminal contamination as discussed below.
- Fig. 2 illustrates an embodiment of a system deployed in a borehole 12 drilled from the surface 15 and formed in a formation 16 that can be used to perform the methods of the invention.
- a probe 14 is provided for extraction of fluid from the formation.
- the measurement sensors, such as sensor 100 or other sensors of the present invention are contained in a downhole tool 20.
- the downhole tool is deployed from a wireline or drill string 18.
- the tool 20 also includes a controller that controls the operation of the downhole tool.
- the controller includes memory and programs, including algorithms described herein to execute the methods described herein.
- the tool 20 is lowered into the wellbore and set to obtain fluid samples from the formation 16.
- the sensor 100 measures a desired property or characteristic of the fluid over time.
- the controller in the tool 20 or another controller at the surface utilizing the programs performs the methods described herein below and provides the desired estimates and other results as described herein.
- the composition of the sampled formation fluid properties change, so do the optical and physical properties of the sampled fluid, such as optical absorption, fluorescence, refractive index, viscosity, density, sound speed, and bulk modulus. These properties can be monitored to estimate the fraction of terminal purity, which is the degree of formation fluid clean up. Different measurements can be used based on the actual conditions. For example in certain cases with monitoring the cleanup over time by looking at the optical absorption over time (over a 2mm path length) may be less desirable because sand particles and other particulates can cause considerable scattering, which makes the absorption over time "jump" a lot and look very noisy.
- monitoring cleanup over time by monitoring refractive index is less sensitive to particulates in the fluid stream because one is only looking at a thin layer of fluid that is in direct contact (at the interface) with the sapphire window.
- refractive index which is an interface-based technique
- fluorescence only sees a thin layer of crude oil near the window and therefore, it is very insensitive to particulates in the stream.
- measurements of any suitable parameter or characteristic of the fluid may be used for the purpose of this invention.
- Y m X 'p + b
- simulation results fit these forms well, especially the logarithmic form.
- the optical density (OD) is an indicator of clean-up
- the OD data can be used as 7 and the pumping time can be used as X. If the pumping speed changes many times during the course of clean-up, the cumulative volume pumped is used as X instead of time.
- a small p value indicates that clean-up process is slow and it will take longer to obtain a quality sample, while a large p value indicates that the clean-up process will be faster and the chance for obtaining a sample of the desired purity is high.
- the value of b is used as an indicator for clean-up to the best sample quality achievable (the asymptotic value). By comparing the current OD value with the b value, the current sample contamination percentage is obtained.
- the future sample quality is estimated using the fitted values of m, p, and b, and a decision can be made as to whether to continue or to stop the pumping process if the estimated future sample quality is deemed insufficient.
- the value ofp decreases below 1.0.
- the value of p depends on the thickness of the transition zone between the region of filtrate and region of formation fluid. The thicker the transition zone, the lower the p value. This gradual transition has a similar effect to that of deep invasion.
- the invasion is deep, then the clean fluid from the fresh zone will be mixed with the filtrate while it flows toward the probe. Hence a deep invasion will have a thick transition zone, and clean-up for that zone will take a long time.
- Formation damage can also affect the clean-up process.
- the clean-up can be improved when the formation near the wellbore is damaged or when the near wellbore formation permeability is less than the true formation permeability due to the small particle invasion.
- n value is 0.75; d) Adding damage to the system (c), then the n value is 1.0; and e) Adding a permeability change due to formation damage, then the n value can vary from 0.25 to 0.5. Fitting formation clean-up simulation results and some field data (optical density) to the above functional form, the following findings are provided.
- the p value will depend on the thickness of the transition zone, the thicker the zone, the lower the p value.
- a similar effect is found for deep invasion. When the invasion is deep, then the clean fluid from the fresh zone will be mixed with the filtrate while it flows toward the probe. Hence the deep invasion will have a thick transition zone, and it will take a longer time to clean-up that zone.
- the property being fit is a function of the optical absorption
- certain particularly useful functions can be selected for the absorption.
- One such function is the ratio of a baseline-adjusted oil peak to a baseline-adjusted water peak or its inverse. This function is particularly useful in monitoring the cleanup from water based mud filtrate to native crude oil. Its inverse is particularly useful in monitoring the cleanup from oil based much filtrate to connate water, when it is desired to collect a sample of water.
- the baseline-adjusted oil peak is an oil peak channel (near 1740 nm) minus a nearby low-absorbance "baseline reference" channel (e.g. channels at 1300 or 1600 nm).
- the baseline-adjusted water peak is a water peak channel (near 1420 or 1935 ran) minus a nearby low-absorbance "baseline reference” channel (e.g. channels at 1300 or 1600 nm).
- Substituting time equals infinity into our forecasting model enables estimation of the limiting value of property, P, at infinite time. Dividing the current value of property, P, by its forecasted terminal value yields the fraction of terminal purity.
- the method and apparatus of the present invention fit fluid measurement data to a non-asymptotic curve.
- a non-asymptotic curve is a curve which provides an improved fit to the data over the typical pumping time and, which can also be successfully extrapolated to several times that pumping time, but which approaches plus or minus infinity at infinite times, such as a power series approximation.
- Another example of a non-asymptotic curve is an equation that has an oscillatory component such as a sine wave, which never reaches a fixed limit. The sine wave can be adjusted in frequency, phase and amplitude to provide an improved fit to pulses in the monitored response that are associated with each stroke of the pump.
- the method and apparatus of the present invention fit a differentiable curve to measurement data or physical property data derived from the measurement data.
- the present invention estimates AZA 0 from the ratio of (dA/dt) to A.
- the present invention fits an asymptotic curve to absorbance differences of nearby optical channels (wavelengths) rather than to absorbance itself. The absorbance differences remove baseline offsets caused by passing sand particles or bubbles. [0033] In the conventional approach to formation contamination, equations 1 and 3 are applicable.
- Figs. 3-10 various functions performed in embodiments for the invention are depicted.
- fluid is extracted from a formation 310.
- a property of the fluid is measured 320 from which an estimate of fluid contamination is made from a fit of the property with a non-asymptotic curve including fits performed to obtain data slope 330.
- the discussion below uses elapsed time as the dependent variable, it is understood that the volume of pumped fluid or some other parameter could also be used.
- the present invention performs a piecewise non-asymptotic curve fit to data to determine smoothed values and data slopes at centers of each segment.
- a regression is performed on the logarithm of the derivative of the data over time against the logarithm of time to obtain a straight-line regression slope and intercept.
- a method and apparatus that use a non-asymptotic curve to fit the data 510.
- the sin( ⁇ t) term can provide a better fit to data that has periodic spikes in response that commonly occur with every pump stroke as particulates are stirred up. Of course, this oscillating term prevents the curve from ever stabilizing to a fixed value no matter how long the time so it is not an asymptotic curve.
- the value of ⁇ can be chosen to coincide with the pump-stroke frequency.
- the present invention finds best Ao, Ai using a linear least squares fit to the N data points, (A 1 -, t, ⁇ 5/12 + k ⁇ 1 sin ( ⁇ t)).
- the present invention provides for a pattern recognition 610.
- the present invention performs a pattern recognition for a trial-and-error estimate of A 0 , rather than a direct calculation of Ao.
- the pattern to be observed is the closest resemblance to a straight line as determined by the highest correlation coefficient, R, for a linear least squares fit.
- the method and apparatus performs a series of linear least squares fits to the absorbance data using a series of different estimates of Ao starting with, A + ⁇ , A + 2 ⁇ , up to A + ⁇ ⁇ , where A + ⁇ ⁇ ⁇ 3.5 OD, where 3.5 is used as an example for the upper dynamic range limit of the tool.
- the Ao value for which the fit is closest to a straight line in log-log space then becomes the best estimate of A 0 .
- Closeness of the fit to a straight-line shape is determined by the closeness of R 2 to unity, where R 2 is the correlation coefficient squared that ranges from 0 (no correlation) to 1 (perfect correlation).
- the present invention finds the best R 2 using a linear least squares fit to the N data points.
- the method and apparatus of the present invention fits a differentiable curve to the measured data.
- the present invention estimates ftp from (dA/dt)/A by fitting a continuously differentiable curve to the absorbance data (or smoothed absorbance data). A piecewise fit to various segments of the data can also be performed. Note that this fitting curve need not approach a terminal value itself. Its purpose is simply to provide a smooth fitting function over a large enough time interval of data points so that fitted values of both A(t) and dA(t)/dt can be calculated for any time, t, within the interval and then substituted into equations 14 - 16.
- the terminal absorbance value can now be determined from the ratio of the current slope, dA(t)/dt, to the current value, A(t).
- the local fitting and smoothing functions used for calculating dA(t)/dt and A(t) do not need to have terminal values themselves. They can even tend to plus or minus infinity, at infinite time, as would occur with a power series fit or a group of power series fits.
- the method and apparatus of the present invention finds terminal values of absorbance differences data rather than of absorbance itself.
- Absorbance differences of neighboring channels are plotted to remove baseline offsets caused by sand particles or bubbles 1010.
- the method and apparatus of the present invention perform a fit to absorbance differences rather than to absorbances themselves.
- the channel differences are forecast, for example, the difference between optical channels, OD 16-OD 15, corresponding to different optical wavelengths out to their terminal values, rather than forecasting a single OD channel out to its terminal value.
- the absorbance difference data is used independently or in conjunction with the approaches described in figures 3-9 to determine fractional terminal purity, ftp.
- the present invention fits a continuously-differentiable, non-asymptotic curve 1302 to the raw data which may be measured values of any suitable parameter relating to the fluid or data derived from such measured values.
- the fit can be to the elapsed time or fit to the volume of fluid pumped.
- the present invention selects a raw data point at some time, t, (preferably, the latest time, t) at which the actual data intersects (or gets closest to) the best fit line.
- the slope 1304, m, of this fit is positive, it means a bad or undesirable section of raw data has been selected, which is curving upward or downward towards plus or minus infinity.
- the present invention then recursively applies this ⁇ A formula forward to generate future forecasts, A(t), of the raw data.
- A(t) fraction of terminal purity at any future time
- Ao fraction of terminal purity at any future time
- t fraction of terminal purity at any future time
- the present invention provides a light source 402, such as an infrared light source which can be a steady state light source or a modulated or pulsed light source.
- a light modulator is provided in the case of a steady state light source.
- the modulator can be any suitable device which varies the intensity of the light source, including but not limited to an electronic pulser circuit, well known in the art, that varies the intensity of the light source or an electromechanical chopper 404 that interrupts the path of the light source to the downhole fluid.
- the modulator is provided to modulate the intensity of light from the light source that impinges on the fluid and the photodetector.
- a reflector or collimator 403 can be provided to focus and/or concentrate light from the light source 402.
- a chamber or conduit 406 is provided for presentation of a downhole fluid for exposure of the downhole fluid to light from the light source.
- An optical window 408 is provided, through which the downhole fluid 407 is exposed to the light.
- the term "fluid" includes liquids, gases and solids that may precipitate from a fluid or a gas.
- the present invention further includes a detector such as a pyroelectric detector 412.
- the pyroelectric detector 412 can also comprise a pyroelectric detector array.
- a spectrometer 414 and processor 422 are provided for analyzing signals from the pyroelectric detector to determine a property of the fluid 407 downhole.
- a mid- infrared linear variable filter 416 is provided and interposed between light radiating 440 from the downhole fluid and the pyroelectric detector 412.
- a high gain amplifier 420 is provided to amplify the signal from the pyroelectric detector 412 when desired.
- the spectrometer 414 includes a processor 422 with memory.
- the processor 422 includes programs that implement soft modeling techniques for applying a chemometric equation, neural network or other soft modeling programs to the measurements of infrared light detected by the pyroelectric detector to estimate other physical and chemical properties of the downhole fluid from the pyroelectric detector signal.
- the spectrometer output responsive to the pyroelectric signal is also input to the soft modeling program, neural network or chemometric equation to estimate properties of the downhole fluid.
- a more detailed schematic of the acoustic transducer for determining sound speed in the fluid is illustrated.
- the present invention provides a transducer 701, a sample flow line 703 or sample flow path 705 containing a fluid sample for measuring fluid density and sound speed of the fluid 708 inside of the tube or sample flow path or sample tank 711.
- the thickness 707 of the flow line wall 706 is known.
- a processor 702 and pulsing electronics 704 are provided to send an acoustic pulse from pulser 701a through wall 706 into fluid 705 in flow path 705 or from pulse 701b through wall 706 of thickness 707b to sample chamber 711.
- the transducer 701 receives echoes from the acoustic pulse, which are monitored by the processor.
- the present invention further comprises a wall standoff, which is an acoustic spacer interposed between the transducer and the wall that is made of the same material as the wall. This spacer simply increases the round trip distance and corresponding travel time for pulse-echo reverberations within the combined standoff plus near- wall material. It serves to lengthen the time between successive decaying echo pulses and so it serves to improve pulse separation, to avoid overlap of pulses and to improve quantification of energy in each pulse.
- the processor determines the density of the fluid in the sample flow line.
- the present invention captures a fluid sample in a flow line from the formation or the borehole.
- the present invention then sends an acoustic pulse into the fluid sample in the flow line or sample tank.
- the processor of the present invention then monitors the echo returns within the wall of the flow line or sample tank and integrates the energy of each acoustic echo pulse.
- the processor determines the slope of the decay of the integrated acoustic echo pulses bouncing inside of the wall of the flow line.
- the present invention determines the reflection coefficient for the inner wall/fluid interface.
- the present invention determines the speed of sound in the fluid.
- the present invention determines the density of the fluid in the line as described above.
- the present invention determines the viscosity of the fluid in the flow line as described above.
- the present invention has been described as method and apparatus operating in a down hole environment in the preferred embodiment, however, the present invention may also be embodied as a set of instructions on a computer readable medium, comprising ROM, RAM, CD ROM, Flash or any other computer readable medium, now known or unknown that when executed cause a computer to implement the method of the present invention. While a preferred embodiment of the invention has been shown by the above invention, it is for purposes of example only and not intended to limit the scope of the invention, which is defined by the following claims.
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EA200702234A EA014302B1 (en) | 2005-04-22 | 2006-04-21 | A method and apparatus for estimating of fluid contamination downhole |
BRPI0609938-6A BRPI0609938A2 (en) | 2005-04-22 | 2006-04-21 | method for estimating a parameter of downhole fluid, downhole apparatus and computer readable medium |
EP06750970.3A EP1875399A4 (en) | 2005-04-22 | 2006-04-21 | A method and apparatus for estimating of fluid contamination downhole |
CN2006800135318A CN101223529B (en) | 2005-04-22 | 2006-04-21 | Method and apparatus for estimating of fluid characteristcs |
NO20075256A NO20075256L (en) | 2005-04-22 | 2007-10-12 | Method and apparatus for estimating fluid contamination in boreholes |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/112,626 US20060241866A1 (en) | 2005-04-22 | 2005-04-22 | Method and apparatus for estimating of fluid contamination downhole |
US11/112,626 | 2005-04-22 | ||
US11/207,398 | 2005-08-19 | ||
US11/207,398 US7299136B2 (en) | 2005-04-22 | 2005-08-19 | Method and apparatus for estimating of fluid contamination downhole |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2006116088A1 true WO2006116088A1 (en) | 2006-11-02 |
Family
ID=37215065
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2006/015096 WO2006116088A1 (en) | 2005-04-22 | 2006-04-21 | A method and apparatus for estimating of fluid contamination downhole |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP1875399A4 (en) |
NO (1) | NO20075256L (en) |
WO (1) | WO2006116088A1 (en) |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6956204B2 (en) * | 2003-03-27 | 2005-10-18 | Schlumberger Technology Corporation | Determining fluid properties from fluid analyzer |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6350986B1 (en) * | 1999-02-23 | 2002-02-26 | Schlumberger Technology Corporation | Analysis of downhole OBM-contaminated formation fluid |
US6714872B2 (en) * | 2002-02-27 | 2004-03-30 | Baker Hughes Incorporated | Method and apparatus for quantifying progress of sample clean up with curve fitting |
-
2006
- 2006-04-21 WO PCT/US2006/015096 patent/WO2006116088A1/en active Application Filing
- 2006-04-21 EP EP06750970.3A patent/EP1875399A4/en not_active Withdrawn
-
2007
- 2007-10-12 NO NO20075256A patent/NO20075256L/en not_active Application Discontinuation
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6956204B2 (en) * | 2003-03-27 | 2005-10-18 | Schlumberger Technology Corporation | Determining fluid properties from fluid analyzer |
Also Published As
Publication number | Publication date |
---|---|
NO20075256L (en) | 2007-11-21 |
EP1875399A1 (en) | 2008-01-09 |
EP1875399A4 (en) | 2015-03-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7299136B2 (en) | Method and apparatus for estimating of fluid contamination downhole | |
US6714872B2 (en) | Method and apparatus for quantifying progress of sample clean up with curve fitting | |
US10975693B2 (en) | Estimating contamination during focused sampling | |
US8528396B2 (en) | Phase separation detection in downhole fluid sampling | |
CA2362543C (en) | Analysis of downhole formation fluid contaminated by oil-based mud | |
US6388251B1 (en) | Optical probe for analysis of formation fluids | |
AU2014287672B2 (en) | System and method for operating a pump in a downhole tool | |
US10012763B2 (en) | Utilizing fluid phase behavior interpretation to increase sensor measurement information accuracy | |
US20070238180A1 (en) | System and Method for Estimating Filtrate Contamination in Formation Fluid Samples Using Refractive Index | |
RU2356030C2 (en) | Method of processing signals resulted from optical analysis of fluid medium | |
CA2843243A1 (en) | Estimating oil viscosity | |
WO2006116088A1 (en) | A method and apparatus for estimating of fluid contamination downhole | |
US8717549B2 (en) | Methods and apparatus to detect contaminants on a fluid sensor | |
RU2454662C2 (en) | System and method for evaluating contamination of formation fluid samples with filtrate using refraction index | |
Cartellieri et al. | Multi Sensor Fluid Typing for Improved Predictions During Sampling Operations | |
AU2005204311B2 (en) | Optical fluid analysis signal refinement | |
WO2019221758A1 (en) | Determination of downhole formation fluid contamination and certain component concentrations | |
MXPA01008443A (en) | Analysis of downhole formation fluid contaminated by oil-based mud | |
GB2411720A (en) | Optical fluid analysis signal refinement | |
EP2005154A2 (en) | System and method for estimating filtrate contamination in formation fluid samples using refractive index |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 200680013531.8 Country of ref document: CN |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
DPE1 | Request for preliminary examination filed after expiration of 19th month from priority date (pct application filed from 20040101) | ||
WWE | Wipo information: entry into national phase |
Ref document number: 8145/DELNP/2007 Country of ref document: IN |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2006750970 Country of ref document: EP |
|
NENP | Non-entry into the national phase |
Ref country code: RU |
|
WWE | Wipo information: entry into national phase |
Ref document number: 200702234 Country of ref document: EA |
|
ENP | Entry into the national phase |
Ref document number: PI0609938 Country of ref document: BR Kind code of ref document: A2 |