WO2007053251A1 - Method for phase and amplitude correction in controlled source electromagnetic survey data - Google Patents
Method for phase and amplitude correction in controlled source electromagnetic survey data Download PDFInfo
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- WO2007053251A1 WO2007053251A1 PCT/US2006/037386 US2006037386W WO2007053251A1 WO 2007053251 A1 WO2007053251 A1 WO 2007053251A1 US 2006037386 W US2006037386 W US 2006037386W WO 2007053251 A1 WO2007053251 A1 WO 2007053251A1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/08—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
- G01V3/083—Controlled source electromagnetic [CSEM] surveying
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
Definitions
- This invention relates generally to the field of geophysical prospecting, and more particularly to controlled source electromagnetic ("CSEM") prospecting, including field delineation.
- CSEM controlled source electromagnetic
- the invention is a method for correcting CSEM data for phase and amplitude errors.
- Controlled-source electromagnetic surveys are an important geophysical tool for evaluating the presence of hydrocarbon-bearing strata within the earth.
- CSEM surveys typically record the electromagnetic signal induced in the earth by a source (transmitter) and measured at one or more receivers. The behavior of this signal as a function of transmitter location, frequency, and separation (offset) between transmitter and receiver can be diagnostic of rock properties associated with the presence or absence of hydrocarbons. Specifically, CSEM measurements are used to determine the spatially- varying resistivity of the subsurface.
- CSEM data (“MCSEM" data) are typically acquired by towing an electric bipole transmitting antenna 11 among a number of receivers 12 positioned on the seafloor 13 ( Figure 1).
- the transmitter antenna is typically towed a few tens of meters above the seafloor.
- the receivers have multiple sensors designed to record one or more different vector components of the electric and/or magnetic fields.
- Alternative configurations include stationary transmitters on the seafloor or in the water column as well as magnetic transmitter antennae.
- the transmitting and receiving systems typically operate independently (without any connection), so that receiver data must be synchronized with shipboard measurements of transmitter position by comparing clock times on the receivers to time from a shipboard or GPS (Global Positioning System) standard.
- GPS Global Positioning System
- MCSEM data collected in deep water are typically interpreted in the temporal frequency domain, each signal representing the response of the earth to electromagnetic energy at that temporal frequency.
- the strength of each frequency component varies depending on how much energy the transmitter broadcasts and on the receiver sensitivity at that frequency. These effects are typically removed from the data prior to interpretation.
- Figures 2A and 2B depict raw receiver data 21 together with (in Fig. 2B) the transmitter waveform 22 that gave rise to it.
- Figure 2 A shows examples of received CSEM signals on a time scale of several hours, while Fig. 2B shows the same received signal on a much shorter time scale 23, comparable to the period, T, of the transmitter waveform. Typical values for T are between 4 and 64 seconds.
- the transmitter waveform is depicted as a dashed line overlaying the receiver waveform. (The transmitter waveform is shown for reference only: the vertical scale applies only to the receiver signal.)
- the receiver data are converted to temporal frequency by dividing (or "binning") the recorded time-domain data into time intervals equal to the transmitter waveform period (Fig. 3A) and determining the spectrum (Fig. 3B) within each bin (x l5 X 2 , X 3 ) by standard methods based on the Fourier Transform.
- the phases of the spectral components are not shown.
- each bin is associated a time, typically the Julian date at the center of the bin. Since the transmitter location is known as a function of time, these bins may be interchangeably labeled in several different ways including: by Julian date of the bin center; by transmitter position; by the signed offset distance between source and receiver; or by the cumulative distance traveled by the transmitter relative to some starting point.
- the transmitter signal may be a more complex waveform than that depicted in Figs. 2B and 3 A.
- MCSEM receivers typically include:
- a power system e.g. batteries (inside data logger and pressure case 40); • one or more electric-field (E) or magnetic-field (B) antennae (bipoles 41 receive + and - E x fields, dipoles 42 + and - Ey, coils 43 for B x and coils 44 for B y );
- E electric-field
- B magnetic-field
- thermometer • other measuring devices, such as a compass and thermometer (not shown);
- a weight e.g., concrete anchor 49
- the receiver depicted in Fig. 4 is a 4-component (E x , E y , B x , and B y ) seafloor CSEM receiver.
- the devices can be configured to record different field types, including vertical electric (E ⁇ ) and magnetic (B z ) fields.
- the received signals are made up of components both in-phase and out-of-phase with the transmitter signal.
- the signals are therefore conveniently represented as complex numbers in either rectangular (real-imaginary) or polar (amplitude-phase) form.
- both the phase and amplitude of MCSEM data can be indicative of resistive (and potentially hydrocarbon-bearing) _ _
- FIG. 5 shows a cross-section view of a typical MCSEM survey.
- the signal measured in a receiver 12 has contributions from many different paths through the subsurface, including paths associated with resistive (potentially hydrocarbon- bearing) strata such as 51.
- Figure 6 A shows Electric-field amplitude and Fig. 6B shows the corresponding phase responses that might result from the MCSEM measurements depicted in Fig. 5.
- the dashed curves show signals in 'the absence of the resistive unit 51. Signals in the presence of the resistive unit (solid curves) show a larger amplitude, as current is forced back toward the surface, and a delayed phase, due to the longer wavelengths of electromagnetic waves in the resistive unit.
- Any phase value, ⁇ , or phase shift, A ⁇ is associated with an equivalent time shift, At , by the formula
- phase is customarily measured as an angle between 0 and 2 ⁇ radians, it can be equivalently thought of as a time between 0 and T seconds.
- the receiver antennae (particularly the magnetic antennae) generally have a frequency-dependent response, and the response of the combined antennae-amplifier circuit can differ from the combined responses of the components;
- phase errors can arise because transmitter and receiver signals are recorded separately using different time bases (clocks) that must themselves be synchronized against a common GPS time base.
- Inversion is an iterative method for determining the resistivity of the subsurface from CSEM data measured at the earth's surface or seafloor. See, for example, D. L. Alumbaugh and G. A. Newman, "3-D massively parallel electromagnetic inversion - Part II, Analysis of a cross well experiment," Geophysical J, Int. 128, 355-363 (1997).
- the result of inversion is a geo-electric model of the subsurface obtained by automatically updating a starting model of the earth resistivity to minimize the mismatch between measured and simulated data. Data errors could prevent the inversion process from converging to a reliable image of the subsurface.
- Correction methods for well log data are generally specific to measurements made in well bores and cannot be readily adapted to CSEM surveys. For example, sonic traveltime measurements in well bores are often corrected for tool tilt by averaging the traveltimes determined from transmitters above and below the receivers (R. E. Sheriff, Encyclopedic Dictionary of Applied Geophysics, Society of Exploration Geophysicists, Fourth edition, p. 325 (2002)). Density logs compensate for borehole irregularities and the effect of a mudcake on the borehole wall by contrasting the number of backscattered gamma rays measured by two detectors at different distances from the source (Sheriff, loc. cit, p. 83).
- Array-type induction logging tools compensate for formation invasion by drilling fluids by combining measurements made at different source-receiver spacings to respond preferentially to the resistivity at different distances from the center of the well bore (Sheriff, loc. cit., p. 22).
- the invention is a method for estimating error in measured data from a controlled-source electromagnetic survey of a subsurface region, comprising: (a) selecting data from the electric or magnetic field survey data, said selected data corresponding to a plurality of different offsets (source-receiver spacings) and to a selected single frequency in the source's signal's frequency spectrum; (b) generating a geo-electrical model of the subsurface region, said model including at least resistivity or conductivity as a function of position in the region; (c) - -
- FIG. 1 illustrates deployment of equipment for a typical CSEM survey
- FIGs. 2A and 2B depict a received CSEM signal and the transmitter waveform that gave rise to it as functions of time;
- FIGs. 3A and 3B illustrate the process of binning a receiver signal in time and determining the frequency spectrum within each time bin by Fourier analysis
- FIG. 4 depicts a 4-component (E x , E y , B x and B y ) seafloor CSEM receiver;
- FIG. 5 depicts a cross section view of a typical MCSEM survey
- Fig. 6A shows a typical electric field amplitude response for a survey such as is depicted in Fig. 5, and Fig. 6B shows the associated phase response;
- FIG. 7 is a flowchart showing steps in one embodiment of the present inventive method.
- Fig 8 compares field and simulated data before and after phase correction by the present inventive method.
- the present invention mitigates phase and/or amplitude errors in
- MCSEM surveys by exploiting the fact that marine electromagnetic data generated by the source near the receiver are dominated by the water conductivity and influenced to a lesser extent by the conductivity of the shallow sediments.
- the conductivity of seawater is usually in the neighborhood of 3.3 S/m and can often be measured directly while the conductivity of the shallow sediments can be adjusted to best match the data across multiple frequencies.
- the electric bipole transmitter approaches zero offset from the receiver, the electric field parallel to the transmitter bipole should approach zero phase relative to the transmitter and approach infinite amplitude.
- This provides a means to determine the required amplitude and phase correction using numerical modeling on a computer, since an earth model with the correct water conductivity and approximately correct sediment conductivity will give rise to synthetic data with the correct amplitude and phase near the transmitter.
- the present invention provides a method to correct field MCSEM data based on 3D modeling. After correction, the data become consistent with underlying physics of electromagnetic fields which is, in turn, used to simulate data from the geo-electric model.
- the MCSEM data are obtained. If the source signal includes more than one frequency with significant amplitude in its frequency spectrum, the electromagnetic data must be transformed into the frequency domain in order to be able to identify the data values corresponding to each frequency. The impact of equipment-specific parameters such as the transmitter current and antenna length and the receiver antenna length and response function is optionally removed from the data or included in the subsequent numerical modeling step.
- a suitable geo-electric model is built talcing into account survey design, water and earth conductivity using geological modeling software on a computer.
- a geo-electric model is a numerical representation of the complex conductivity, magnetic permeability, and dielectric permittivity structure of the earth. It may include only vertical variation or may vary in all three dimensions and may include a layer of air at the top. In most cases, the magnetic permeability can be taken to be 4 ⁇ x 10 "7 H/m and the dielectric permittivity to be 8.85 x 10 "12 F/m.
- three-dimensional numerical modeling is performed on a computer to generate electromagnetic field data using field transmitter and receiver positions and transmitter operating parameters. Three-dimensional modeling is required to most accurately simulate the effects of transmitter orientation, receiver orientation, and transmitter-receiver offset on the synthetic data; however, the invention is not limited to 3D models or simulation.
- Step 74 consists of plotting the phase of both the measured electromagnetic field data from step 71 and the simulated data from step 73 versus R for a single angular frequency and for a selected receiver location.
- R is the (signed) horizontal offset between transmitter and the selected receiver and ⁇ is the angular frequency.
- the offset range near zero is selected where the phase shift will be computed.
- a phase shift is computed as a scalar value which will provide the best fit in some suitable norm (least-squares, for example) to the simulated data within the selected interval:
- Phase of field data + Phase Shift Phase of simulated data
- the corrected phase of the field data is:
- phase shift computed over this selected interval is applied to all of the data collected by this receiver at this frequency during this tow line, including data outside the selected interval. Then the process of correction (steps 74-76) may be repeated for all selected frequencies and receivers (step 77), which amounts to cycling through steps 74-77 until the data are all corrected. The result is that the phase of the corrected field data matches the phase of the simulated data at small transmitter- receiver offset.
- step 74 may be performed by any method of comparing measured survey data to simulated data; i.e., although plotting is a very useful way to compare, the data do not necessarily have to be plotted together, or plotted at all, to make the comparison.
- the data compared may alternatively represent a single source location and different receiver locations.
- the method looks at different offsets (transmitter-receiver spacing) with either transmitter (i.e., source) location or receiver location fixed.
- the different offsets may be obtained from different source and receiver locations, i.e., neither source location nor receiver location is held fixed.
- An example of the latter type of embodiment might be N different source locations paired up with N different receiver locations in such a way that all offsets are different.
- the situation of a fixed transmitter with many receivers or, alternatively, a fixed receiver and many transmitters are the most computationally efficient.
- the shallow sediment conductivity can be determined by selecting a conductivity which gives the best match between field and synthetic data at near offsets over a range of angular frequencies.
- the electronics in the receiver may become saturated by very big electromagnetic field.
- offsets in the range of 0.5 to 2.0 km. are most useful for developing phase and amplitude corrections by means of this invention. Stated more generally, a useful offset range may often be up to about 1.5 km beyond the saturation zone on either side of that zone, but excluding the saturation zone.
- the computed phase shift or amplitude scale factor will depend primarily on the seawater and shallow sediment conductivities and be relatively insensitive to the deeper details of the geo-electric model.
- the method is not limited to either a static or moving electric dipole transmitter.
- Other possible transmitters include, but not limited to: static or moving electric pole, magnetic dipole, electric loop, and arrays of all the above-listed transmitters.
- Figure 8 shows horizontal inline electric field phase data at given receiver for a single frequency.
- the solid line 81 represents recorded field data
- the dashed line 82 shows simulated data
- the other dashed line 83 shows corrected recorded field data after application of the invention.
- Differences between the corrected line 83 and the simulated line 82 at offsets greater than about 2 km are indicative of differences between the approximate geo-electric model used in the invention and the actual geo- electric properties of the earth. Remaining differences such as these are the subject of subsequent analysis, such as interpretation or inversion.
- Each surface-consistent phase error is the sum of a phase error associated with the transmitter and a phase error associated with the receiver.
- Each surface-consistent amplitude scale factor would be the product of an amplitude scale factor associated with the transmitter and an amplitude scale factor associated with the receiver.
- the phase errors determined by the basic method could be applied to other receivers on the same tow line and the surface-consistent errors found by variation No. 5 could be applied to data that were not part of the original data-fit calculation.
- Variation No. 5 above warrants additional explanation.
- the requirement that measured data have phase and amplitude adjusted to be consistent with simulated data at near offsets is valid whether or not the tow line passes directly over the receiver.
- near offsets may not be available.
- CSEM receivers such as that shown in Fig. 4 generally have a finite dynamic range. That is, overly large electric or magnetic fields will saturate the digitizers so that the recorded digital data will be clipped between some maximum and minimum values. This situation generally occurs when the source passes within a few hundred meters of the receiver, the exact distance varying with the strength of the transmitter. Those skilled in analyzing CSEM data will easily recognize this saturation zone and ignore that offset range while practicing the present invention. [0043] The foregoing application is directed to particular embodiments of the present invention for the purpose of illustrating it. It will be apparent, however, to one skilled in the art, that many modifications and variations to the embodiments described herein are possible.
- the invention is described in terms of marine CSEM survey data, but the method can be applied to data collected on land or using airborne technique.
- the geo-electrical model and the simulation of electromagnetic responses may be either one, two or three-dimensional, including the so-called two and one-half dimensional approximation in which the model is assumed to be unchanging along just one direction.
- the amplitude and phase correction of the present invention is preferably performed at least partly on a computer, i.e., computer- implemented embodiments of the present inventive method are preferred, but not essential. All such modifications and variations are intended to be within the scope of the present invention, as defined in the appended claims.
Abstract
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Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
BRPI0618149-0A BRPI0618149A2 (en) | 2005-11-01 | 2006-09-25 | methods for estimating error in measured data from controlled source electromagnetic prospecting of a subsurface region and for producing hydrocarbons from a subsurface region |
EA200801241A EA012792B1 (en) | 2005-11-01 | 2006-09-25 | Method for phase and amplitude correction in controlled source electromagnetic survey data |
EP06825119A EP1949138A1 (en) | 2005-11-01 | 2006-09-25 | Method for phase and amplitude correction in controlled source electromagnetic survey data |
US12/083,883 US7801681B2 (en) | 2005-11-01 | 2006-09-25 | Method for phase and amplitude correction in controlled source electromagnetic survey data |
CA2627861A CA2627861C (en) | 2005-11-01 | 2006-09-25 | Method for phase and amplitude correction in controlled source electromagnetic survey data |
AU2006309259A AU2006309259B2 (en) | 2005-11-01 | 2006-09-25 | Method for phase and amplitude correction in controlled source electromagnetic survey data |
NO20081635A NO20081635L (en) | 2005-11-01 | 2008-04-02 | Procedure for phase and amplitude correction in controlled source electromagnetic field data |
Applications Claiming Priority (2)
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US73233605P | 2005-11-01 | 2005-11-01 | |
US60/732,336 | 2005-11-01 |
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WO2007053251A1 true WO2007053251A1 (en) | 2007-05-10 |
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PCT/US2006/037386 WO2007053251A1 (en) | 2005-11-01 | 2006-09-25 | Method for phase and amplitude correction in controlled source electromagnetic survey data |
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US (1) | US7801681B2 (en) |
EP (1) | EP1949138A1 (en) |
AU (1) | AU2006309259B2 (en) |
BR (1) | BRPI0618149A2 (en) |
CA (1) | CA2627861C (en) |
EA (1) | EA012792B1 (en) |
MY (1) | MY139514A (en) |
NO (1) | NO20081635L (en) |
WO (1) | WO2007053251A1 (en) |
Cited By (6)
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WO2009006088A2 (en) | 2007-06-29 | 2009-01-08 | Schlumberger Canada Limited | Methods for electromagnetic measurements and correction of non-ideal receiver responses |
US7826972B2 (en) | 2007-03-30 | 2010-11-02 | Westerngeco L.L.C | Methods of electromagnetic logging using a current focusing receiver |
WO2010129556A2 (en) * | 2009-05-05 | 2010-11-11 | Baker Hughes Incorporated | Monitoring reservoirs using array based controlled source electromagnetic methods |
EP2317344A1 (en) * | 2009-11-03 | 2011-05-04 | Nederlandse Organisatie voor toegepast -natuurwetenschappelijk onderzoek TNO | Method and system to monitor a hydrocarbon reservoir |
CN103869371A (en) * | 2014-03-28 | 2014-06-18 | 吉林大学 | Manual field source frequency domain full-gradient electromagnetic measuring method |
US9008970B2 (en) | 2011-10-06 | 2015-04-14 | Halliburton Energy Services, Inc. | Compensated crosswell tomography methods and systems |
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MX2008000922A (en) * | 2005-07-22 | 2008-03-18 | Exxonmobil Upstream Res Co | Method for determining receiver orientations. |
US8538699B2 (en) * | 2006-09-13 | 2013-09-17 | Exxonmobil Upstream Research Company | Rapid inversion of electromagnetic reconnaissance survey data |
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US9341732B2 (en) * | 2008-12-15 | 2016-05-17 | The Governing Council Of The University Of Toronto | Continuously towed seafloor electromagnetic prospecting system |
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2006
- 2006-09-25 EA EA200801241A patent/EA012792B1/en not_active IP Right Cessation
- 2006-09-25 WO PCT/US2006/037386 patent/WO2007053251A1/en active Application Filing
- 2006-09-25 CA CA2627861A patent/CA2627861C/en not_active Expired - Fee Related
- 2006-09-25 EP EP06825119A patent/EP1949138A1/en not_active Withdrawn
- 2006-09-25 US US12/083,883 patent/US7801681B2/en not_active Expired - Fee Related
- 2006-09-25 BR BRPI0618149-0A patent/BRPI0618149A2/en not_active IP Right Cessation
- 2006-09-25 AU AU2006309259A patent/AU2006309259B2/en not_active Ceased
- 2006-10-11 MY MYPI20064312A patent/MY139514A/en unknown
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- 2008-04-02 NO NO20081635A patent/NO20081635L/en not_active Application Discontinuation
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US7109717B2 (en) * | 2002-12-10 | 2006-09-19 | The Regents Of The University Of California | System and method for hydrocarbon reservoir monitoring using controlled-source electromagnetic fields |
US20060203613A1 (en) * | 2005-02-18 | 2006-09-14 | Leon Thomsen | System and method for using time-distance characteristics in acquisition, processing, and imaging of t-CSEM data |
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US7826972B2 (en) | 2007-03-30 | 2010-11-02 | Westerngeco L.L.C | Methods of electromagnetic logging using a current focusing receiver |
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Also Published As
Publication number | Publication date |
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AU2006309259B2 (en) | 2011-03-24 |
CA2627861C (en) | 2012-04-17 |
CA2627861A1 (en) | 2007-05-10 |
US7801681B2 (en) | 2010-09-21 |
MY139514A (en) | 2009-10-30 |
EP1949138A1 (en) | 2008-07-30 |
EA200801241A1 (en) | 2008-08-29 |
BRPI0618149A2 (en) | 2011-08-16 |
EA012792B1 (en) | 2009-12-30 |
NO20081635L (en) | 2008-07-24 |
US20090133870A1 (en) | 2009-05-28 |
AU2006309259A1 (en) | 2007-05-10 |
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