The present disclosure relates generally to devices, systems, and methods of geological exploration in wellbores. More particularly, the present disclosure describes a device, a system, and a method useful for producing a lithology image of an earth formation in a borehole during drilling.
A variety of techniques are currently utilized in determining the presence and estimation of quantities of hydrocarbons (oil and gas) in earth formations. These methods are designed to determine formation parameters, including, among other things, the resistivity, porosity, and permeability of the rock formation surrounding the wellbore drilled for recovering the hydrocarbons. Typically, the tools designed to provide the desired information are used to log the wellbore. Much of the logging is done after the wellbores have been drilled. More recently, wellbores have been logged while drilling, which is referred to as measurement-while-drilling (MWD) or logging-while-drilling (LWD). One advantage of MWD techniques is that the information about the rock formation is available at an earlier time when the formation is not yet damaged by an invasion of the drilling mud. Thus, MWD logging may often deliver better formation evaluation (FE) data quality. In addition, having the formation evaluation (FE) data available already during drilling may enable the use of the FE data to influence decisions related to the ongoing drilling (such as geo-steering, for example). Yet another advantage is the time saving and, hence, cost saving if a separate wireline logging run can be avoided.
An important aspect of exploration is that of correlating geological formations across a reservoir. The dictionary definition of term “lithology”, which we adopt, is:
A drawback of these imaging methods is that while they reveal structural information about the earth formation, they provide little or no information about the formation mineral composition. The present disclosure addresses this deficiency and enables a more complete lithologic characterization of earth formations using MWD techniques.
One embodiment of the disclosure is an apparatus configured to estimate an elemental composition of an earth formation. The apparatus includes at least one radiation detector configured to be conveyed in a borehole and make a plurality of first measurements of natural gamma rays; and at least one processor configured to: associate an azimuth with each of the plurality of first measurements and process the plurality of first measurements and estimate an elemental composition of the earth formation for the plurality of azimuths.
Another embodiment of the disclosure is a method of estimating an elemental composition of an earth formation. The method includes making a plurality of first measurements of natural gamma rays in a borehole, associating an azimuth with each of the plurality of first measurements, processing the plurality of first measurements for estimating an elemental composition of the earth formation for the plurality of azimuths.
Another embodiment is a computer readable medium accessible to at least one processor. The computer-readable medium includes instructions that enable the at least one processor to associate an azimuth with each of a plurality of measurements of natural gamma rays made by a radiation detector in a borehole in an earth formation; and estimate an elemental composition of the earth formation for each of the plurality of azimuths. The medium may include a ROM, an EPROM, an EEPROM, a flash memory and/or an optical disk.
The present disclosure is best understood with reference to the accompanying figures in which like numerals refer to like elements and in which:
Drilling fluid 126 is circulated from a mud pit 128 through a mud pump 130, past a desurger 132, through a mud supply line 134, and into a swivel 136. The drilling fluid 126 flows down through the kelly joint 114 and a longitudinal central bore in the drill string, and through jets (not shown) in the lower face of the drill bit. Return fluid 138 containing drilling mud, cuttings and formation fluid flows back up through the annular space between the outer surface of the drill string and the inner surface of the borehole to be circulated to the surface where it is returned to the mud pit through a mud return line 142. A shaker screen (not shown) separates formation cuttings from the drilling mud before the mud is returned to the mud pit.
The system in
If applicable, the drill string 118 can have a downhole drill motor 150 for rotating the drill bit 124. Incorporated in the drill string 118 above the drill bit 124 is the downhole tool 122 of the present disclosure. A telemetry system 152 is located in a suitable location on the drill string 118 such as above the tool 122. The telemetry system 152 is used to receive commands from, and send data to, the surface via the mud-pulse telemetry described above.
The surface controller 148 may contain a computer, memory for storing data, data recorder and other peripherals. The surface controller 148 also responds to user commands entered through a suitable device, such as a keyboard.
In one embodiment of the system of present disclosure, the BHA 121 contains various sensors and LWD devices to provide information about the formation, downhole drilling parameters and the mud motor. The downhole assembly 121 may be modular in construction, in that the various devices are interconnected sections so that the individual sections may be replaced when desired.
Still referring to
The BHA 121 of the present disclosure includes a tool 122, which contains a nuclear device for providing information useful for evaluating and testing subsurface formations along the borehole 122. The nuclear device includes a pulsed neutron source and two detectors for measuring resulting gamma rays. In use, high energy neutrons are emitted into the surrounding formation. This is discussed further below.
Shown is a dual-detector arrangement. A first (SS) detector (short-spaced detector) 206 is disposed in the tool body 202 axially displaced from the neutron source 210. A second detector (LS or far detector) 208 is disposed in the wall axially displaced from the first detector 206 and from the neutron source 310. Several alternative embodiments of the present disclosure can be described with reference to
In an exemplary embodiment, the LS and SS detectors 202 and 208 are comprised of bismuth-germanate (BGO) crystals coupled to photomultiplier tubes. In another embodiment of the disclosure, Brilliance 380™ crystals of LaBr3:Ce provided by Saint-Gobain Crystals is used. To protect the detector systems from the high temperatures encountered in boreholes, the detector system may be mounted in a Dewar-type flask. Also, in an exemplary embodiment, the source comprises a pulsed neutron source using a D-T reaction wherein deuterium ions are accelerated into a tritium target, thereby generating neutrons having an energy of approximately 14 MeV.
An important feature of the present disclosure is the use of collimated sources and detectors. The collimation may be achieved by the eccentric positioning of the source and detectors, use of shielding, or combination of these approaches. In one embodiment, a Boron-coated Tungsten shield is used. Using these or other approaches known in the art, the azimuthal sensitivity of the tool may be increased.
After the 100 μs neutron burst cycle is repeated numerous times (typically 950) 501 as shown in
In an exemplary embodiment of the present disclosure, energized neutrons are injected from a pulsed neutron source 209 into a surrounding formation. The scintillation detector records the spectrum over a predetermined time interval. During the inelastic gate, a total spectrum of gamma rays is obtained from the formation layer. During a capture gate, a capture spectrum of gamma rays is obtained from the formation layer. A determinable factor of the capture spectrum can be subtracted from the obtained total spectrum to derive a spectrum substantially representative of an inelastic spectrum only. The elemental contribution to the inelastic spectrum and the capture spectrum can then be determined by determining a first constituent spectrum from the inelastic spectrum and a second constituent spectrum from the capture spectrum. An operator versed in the arts can then use the determined elemental contributions to determine a parameter of the surrounding formation.
The derived gamma ray energy spectra for data analysis comprise both the capture spectrum and the inelastic spectrum. An inelastic gamma ray is generated from the nucleus of the atom from which there is a scattering of initial highly energetic neutrons. A capture gamma ray is emitted by the nucleus of an atom through absorption of a neutron after its energy has diminished.
A feature of the present disclosure is the analysis of separate inelastic and capture spectra in terms of their constituent spectra. Prior art discusses methods for removing the effects of a capture spectrum from a total spectrum obtained during a burst gate, consequently obtaining an improved inelastic spectrum. A corrected fraction of the capture spectrum is subtracted from the total spectrum in order to generate a representative inelastic spectrum. The corrected fraction is referred to as the capture subtraction factor. The method for calculating this value comprises using a capture gamma ray response function to estimate the capture and inelastic components within a recorded time spectrum. Analysis of the spectra can be performed uphole or downhole and may be done using a processor or expert system.
As discussed in U.S. Pat. No. 7,205,535 to Madigan et al., having the same assignee as the present disclosure and the contents of which are incorporated herein by reference, a library of elemental basis functions can be used to enable a decomposition of at least one of capture and inelastic spectra into their respective constituent spectra. A partial list of elements includes Ca, Cl, Fe, Mg and Si. Currently, constituent spectra representing 20 elements are usable in the present disclosure. When the fraction of a particular element obtained from both the capture and inelastic spectrum are reasonably close, then their average value may be used for the elemental analysis. Large differences between estimates for a particular element obtained by capture and inelastic spectral decomposition should serve as a cautionary flag. As part of the spectral decomposition using basis functions, it is standard practice to also estimate uncertainties along with the regression coefficients. These uncertainties can be used to provide an estimate of the amount of an element from the individual estimates obtained from inelastic and capture spectra. The number of elements can be increased and is not meant as a limitation of the present disclosure. Elemental basis functions could further be produced using various methods. For example, use of a computer can enable generation of an elemental basis function of a previously unlisted element.
The elements that can be readily measured from the capture gamma ray energy spectrum comprise Ca, Cl, H, Fe, Mg, Si, and S. The elements that can be readily measured from the inelastic gamma ray energy spectrum comprise C, Ca, Fe, Mg, O, Si, and S. U.S. Pat. No. 7,402,797 to Pemper et al., having the same assignee as the present disclosure and the contents of which are incorporated herein by reference, teaches the determination of Aluminum concentration in the earth formation. The list is not intended to be complete and other elements could also be identified. Table 1 summarizes the appearance of several elements readily identifiable in both capture and inelastic spectra. In some cases, the same element can be found in both the capture and inelastic spectra. Those elements found in both the capture and inelastic spectra further aid a log analyst in the final scientific interpretation of the data.
Once a gamma ray spectrum is extracted for an individual element, it can be used as an elemental standard. These standards are determinable, for example, using a combination of empirical data from known formations in the Nuclear Instrument Characterization Center, and using computer simulations employing detailed physical modeling techniques. The combination of these standards that results in the best fit to the measured spectra determines the elemental yields.
Mineral identification can be derived from elemental yields. Some typical mineral compositions are listed in Table 2.
Various pattern recognition algorithms can be used to decipher the mineral concentrations measured during a logging run. Alternatively, signature recognition methods can be used to decipher elemental concentrations. An example of such patterns can be observed in Table 3. The formations measured for the example of Table 3 possess zero porosity and a 7⅞-inch borehole. An operator versed in the arts can use information from Table 3 for determination of mineral type. As an example, sandstone can be distinguished from limestone. Note, for example, that the 0 pu sandstone formation shows large fractions of silicon whereas the corresponding limestone and dolomite formations do not. As a further example, the magnesium signature in the dolomite formation enables an operator to distinguish dolomite from limestone.
In the context of wireline logging, Madigan teaches the process of going from Table 1 (the elemental analysis) to Table 2 (the mineralogical makeup of the rock) by a Linear Programming (LP) programming approach. A set of possible mineral constituents of the formation is defined. A constrained LP approach is used to find the fraction of each of the possible mineral constituents that has the determined elemental analysis. In the context of the present disclosure, using the tool with azimuthal sensitivity discussed above, it is possible to get high resolution estimates of the formation mineralogy during drilling as a function of depth and azimuth. The BHA is provided with a suitable orientation sensor such as a magnetometer. The measurements are made with sufficient resolution in azimuth and depth. Those versed in the art and having benefit of the present disclosure would recognize that usually, the signal-to-noise ratio (SNR) using the azimuthally sensitive tool discussed above is likely to be poor. An advantage of MWD measurements is the ability to stack measurements into azimuthal bins over successive rotations of the tool and thus improve the SNR. This is discussed below with reference to
As discussed in Pemper, knowing the elemental fraction of aluminum makes it possible to identify mineral constituents such as albite, anorthite, orthoclase, microcline, kaolinite, montmorillonite, chlorite, ilite, muscovite, biotite, and/or glauconite. From the determined mineral constituents, an indication of diagenesis and/or source rock maturation can be obtained using known techniques.
The measurements may also be used to estimate the photoelectric factor (Pe). Pe is commonly derived from the ratio of detected gamma counts in a high-energy (hard) window and low energy (soft) window of a spectrum recorded at a detector. The Pe may be computed from either detector. However, the near detector is generally used due to its better collimation and better statistics. The resulting value is a direct function of the aggregate atomic number (Z) of the elements in the formation, and so is a sensitive indicator of mineralogy. The photoelectric factor is commonly scaled on a range between 0 and 10 b/e. Common reservoir mineral reference values are: quartz 1.81; dolomite 3.14; and calcite 5.08 b/e. As discussed in U.S. patent application Ser. No. 11/780,993 of Huiszoon, having the same assignee as the present disclosure and the contents of which are incorporated herein by reference, standoff corrections may be made in the determination of Pe by using a suitable caliper measurement.
Using the method and apparatus described above, it is thus possible to produce various images of the earth formation that have significant uses. In reservoir navigation, it is desired to maintain the borehole in a desired relation to an interface such as a bed boundary or a fluid interface. Natural gamma ray measurements have been used in the past for such a purpose, relying on the radioactivity of shales. Having images of mineralogy makes it possible to identify formations with thin, interbedded sands and shales where the layers cannot be resolved by conventional natural gamma ray measurements. This may be used in reservoir navigation. An increase of silica in the image is indicative of approaching a source of sand in the geologic column and a potential reservoir with porosity. An increasing amount of clay minerals encountered during drilling may be indicative of approaching an impermeable shale lens in the earth.
As noted above, the relative amounts of different clay minerals is diagnostic of diagenesis and source rock maturation. Having such measurements along with structural information obtained from other measurements enables developing a more complete picture of the reservoir and thus increases the potential recovery of hydrocarbons.
In one embodiment of the disclosure, measurements are made with two detectors. An auxiliary detector is provided that is responsive primarily to gamma rays from the borehole fluid. This is relatively easy to do in wireline applications: the standoff is determined from caliper measurements, and FE measurements made with a large standoff that are responsive primarily to borehole fluid signals are used. For MWD applications, this is more problematic. Two approaches may be taken. In one, gamma ray measurements are made in the central bore of the drillstring: an auxiliary pulsed neutron source on the central bore may be used. This has the disadvantage that properties of drilling fluid in the annulus between the drill collar and the borehole wall would not be measured.
Alternatively, the auxiliary gamma ray detector may be collimated and/or shielded to be responsive to gamma rays arriving in a generally axial direction from the pulsed neutron source. Since the pulsed neutron source is configured for azimuthal sensitivity, an auxiliary pulsed neutron source may be used. The spectrum measured in this fashion can then be subtracted from the measurements made by the main detector to provide a borehole corrected spectral measurement (and elemental composition, mineralogical composition, etc.).
It is important to note that in the present disclosure, a wide variety of information about the earth formation is obtained from basically the same set of measurements, i.e., gamma ray measurements resulting from a pulsed neutron source. As such, the different parameters estimated by the method described above are intrinsically linked and arise from basically the same set of physical phenomena. It is to be further noted that the elemental and mineralogical composition may be obtained without knowledge of the total shale content of the formation.
Another embodiment of the disclosure uses natural gamma ray measurements measured by a detector of the type discussed above, so that measurements of natural gamma rays may be used, either by themselves or in combination with the capture and inelastic spectra discussed above.
Those versed in the art and having benefit of the present disclosure would recognize that natural gamma ray measurements are indicative primarily of Thorium (Th), Uranium (U) and Potassium (K). An exemplary method, disclosed in U.S. Pat. No. 4,492,863 to Smith uses six spectral windows in the range of 0 to 3 MeV.
The elemental composition of Th, U and K for a plurality of different azimuths can be estimated from the method described above. However, the natural gamma ray measurements by themselves are not sufficient to proceed to the next step, viz, mineralogy. Those versed in the art and having the benefit of the present disclosure may have noticed that K is not listed in Table I as being readily identifiable using capture spectra and inelastic spectra. The reason is that K has a capture spectrum that is very hard to distinguish from the spectrum of Gadolinium (Gd). On the other hand, Gd does not contribute to the natural gamma ray spectrum. Hence having the natural gamma ray spectrum in addition to the capture and inelastic gamma ray spectra provides additional information about the occurrence of minerals that contain Potassium. These minerals include Glauconite and Potassium Feldspars such as Microcline, Sanidine and Orthoclase.
The mineralogical analysis using natural gamma radiation is particularly useful in shale gas basins. As discussed in U.S. patent application Ser. No. 11/769129 of Jacobi et al., having the same assignee as the present application and the contents of which are incorporated herein by reference, published as U.S. 2008179510, a low value of Th/U ratio as determined from natural gamma radiation is indicative of deepwater sedimentation. This, together with estimates of total organic carbon from pulsed neutron measurements, is used to characterize source rocks. The estimation of organic carbon is discussed in U.S. patent application Ser. No. 11/769,353, having the same assignee as the present application and the contents of which are incorporated herein by reference, published as U.S. 2008179509. As discussed in the '509 publication, elemental analysis of an earth formation is obtained using measurements from a gamma ray logging tool. From the elemental analysis, an estimate of the Calcium, Magnesium and Carbon content of the formation is determined. The amount of organic carbon in the formation is estimated from the total Carbon content and the inorganic carbon associated with minerals in the formation. An indication of source rock may be obtained from the Th/U ratio.
The method described above may also be carried out using a logging string conveyed on a wireline provided the logging tool is provided with a motor drive for providing a 360° scan of the formation. Collectively, the BHA and the logging string may be referred to as a downhole assembly.
The processing of the data may be done by a downhole processor to give corrected measurements substantially in real time. Implicit in the control and processing of the data is the use of a computer program on a suitable machine readable medium that enables the processor to perform the control and processing. The machine readable medium may include ROMs, EPROMs, EEPROMs, Flash Memories and Optical disks. Such media may also be used to store results of the processing discussed above.
This application is a continuation-in-part of U.S. patent application Ser. No. 11/936,203 filed on Nov. 7, 2007, the contents of which are incorporated herein by reference. This application is also related to an application titled “Azimuthal Elemental Imaging” filed concurrently with the present application under Attorney Docket 594-44749-USCP2 with Andrew Kirkwood and Philip Kurkoski as inventors, the contents of which are incorporated herein by reference.
Number | Date | Country | |
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Parent | 11936203 | Nov 2007 | US |
Child | 12264821 | US |