The way of typing and correlation neftegazoperspektivnyh rocks in borehole spectral-time parameters

 

(57) Abstract:

Usage: in petroleum Geology to improve the efficiency of exploration for oil and gas. Geophysical data boreholes quantitatively parametrize on the basis of spectral-temporal analysis and quantitative evaluation using the definition of work specific frequency and time spectral densities of the energy spectra in the frequency and time highs, or a weighted average of frequency and time, as well as relations of power spectra of high frequency and large times to the energy spectra of low frequencies and smaller. Spend typing neftegazoperspektivnyh rocks and their correlation between wells on a set of quantitative spectral-time parameters in the frequency-time scan. The technical result is to increase the reliability of the method.

The invention relates to petroleum Geology and can be used to improve the efficiency of geological exploration for oil and gas, including carrying out ground geophysical surveys and subsequent exploration and development drilling.

On the basis of spectral-temporal analysisfor-temporal images (NWO) target intervals neftegazoperspektivnyh rocks in the form of a SWAN speakers and their quantitative spectral-temporal parameters (SVP) ("Structural-structural interpretation of seismic data" I. A. Mushin, L. Y. Brody, E. A. Kozlov, F. I. Fatianov. - M.: Nedra, 1990, 299).

Under the type section refers to the specific combination of lithofacies differences rocks in a stratigraphic range, characterized by exclusive history and formation conditions. Neftegazopromyslovye and other types of geological section integrally defined by the totality of drilling data: spectral-temporal parameter, lithofacies and granulometric characteristics, peculiarities of development of lithogenesis, the thickness of the target interval, the effective thickness of the reservoir, porosity, fracturing, cavernosal, capacity, permeability and well productivity. Correlation neftegazoperspektivnyh and other rocks is made as classical schemes, and SVP.

There are ways to identify the different types of geological section and stratigraphic correlation of rocks between the holes according to the drilling and geophysical surveys in wells (GIS) (see Dehnow Century. N. "Interpretation of geophysical survey wells. Costoptimized, 1962, 377 North Dolecki Century A. "Geological interpretation of materials Geophysics the State.).technology. publishing house of literature on Geology and subsoil protection. M - 1957, s. "Practical stratigraphy. " Edited by I. N. Nikitin, A. I. Gamoudi. Leningrad, Nedra, Leningrad branch, 1984, 320 S.)

The disadvantage of these methods is qualitative using a combination of borehole information (results of core studies, the interpretation of the curves GIS and ambiguous visual amplitude and phase correlation curves GIS between the wells, which is often interpreted in different ways, especially within directly neftegazoperspektivnyh intervals, outside location sharply defined borders.

Vertical and horizontal (lateral) variability of physical properties of rocks leads to a change in the electrical, radioactive and acoustic parameters of the curves GIS, i.e., to change their form, which is known to reliably and accurately estimated spectral transformations (see Kharkevich, A. A. "Spectra and analysis - M.: State.publisher physical-Mat.literature, 1962, S. 235).

There is a method of spectral-temporal analysis of GIS data for their integration with seismic data (see "Spectral-temporal analysis of GIS data for their complexation with seismic" E. A. Taratin, I. A. Mushin, W. J. Pehov, O., Bielawa contrast and view curves GIS in the form of diagrams contrast. Chart contrast curves GIS are the SWAN and mutually linked with TFA seismic-based identification of boundaries and geological phone

The disadvantage of this method for typing and correlation of rocks are:

- conversion curves GIS in the chart contrast, which inevitably leads to errors results TFA;

- qualitative assessment of the results of the SWAN diagram contrast, without time-frequency parameterization of the SWAN speakers.

In all known methods into force of these shortcomings can be mistakes in identifying the types of the geological section and stratigraphic correlation of rocks, and, as a consequence, the use of inaccurate or incorrect information basis for the development of geological models of the studied objects, with subsequent sub-optimal placement of ground-based geophysical operations and wells, increasing development costs of interest.

The challenge which sent the proposal, expressed in the definition of types neftegazoperspektivnyh and other rocks, their spectral-temporal quantitative parameterization and correlation between wells as on known criteria, so the interval of the geological section and correlation neftegazoperspektivnyh and enclosing rocks between wells, due to the quantitative spectral-temporal assessment of changes of the amplitude-phase characteristic curves of GIS, i.e. curves GIS, corresponding to different types of incision.

Thus, increasing the validity of the information base for further development of adequate geological model and, therefore, justify the laying of new exploration and production wells.

The way of typing and correlation neftegazoperspektivnyh rocks in borehole spectral-temporal features includes drilling, electrical, radioactive, acoustic, seismic, well logging, well testing and research core. In addition spend typing and correlation neftegazoperspektivnyh and enclosing rocks using spectral-temporal parameters of the curves GIS on the basis of their spectral and temporal analysis.

SVPs are determined by the spectral energy densities (frequency along the frequency axis) and time (on axis) spectra of the SWAN speakers curves GIS, pre recalculated from deep in the time scale using seismic data logging.

SVPs are six parameters, p is.

K1(f) the specific work of the spectral density of energy of the frequency spectrum at the maximum frequency of the spectrum at the level of 0.7 to its maximum.

< / BR>
where aithe amplitude of the spectrum at frequency fi; f = f2-f1(f1initial, f2- end of the frequency spectrum at the level of 0.1 of its maximum).

TO2(f) is the same, multiplied by the average frequency

< / BR>
where fithe frequency ANDi.

TO3(f) the ratio of the energy of the high frequencies to the energy of the low frequencies

< / BR>
where fcf- the average frequency of the spectrum

K4(t), K5(t), K6(t) is the same as K1(f), K2(f)3(f) only along the axis of the times.

Here t1and t2t = t2-t1, tmax, tithe time for aihave the same meaning that f1and f2, f = f2-f1fmaxfionly along the axis of the times.

Set of six SVPs quantitatively determine the types of the geological section of the target borehole intervals and their correlation between wells.

The technical result achieved when using this invention is that for the first time in the practice and exploration in the oil GM quantitative spectral-temporal parameters of the curves GIS, ensure the reliability and objectivity of the information basis for the development of geological models of the objects studied and, as a consequence, the optimization of the distribution of terrestrial geophysical works and wells, thereby improving the efficiency of geological exploration work and reducing the cost of the study and development of oil and gas objects.

The way of typing and correlation neftegazoperspektivnyh rocks in borehole spectral-time parameters, including well drilling, electrical, radioactive, acoustic and seismic logging, well testing, core examination and judgment data neftegazoperspektivnyh types of geological section and correlation of rocks between the wells, wherein the geophysical data boreholes quantitatively parametrize on the basis of spectral-temporal analysis and quantitative evaluation using the definition of work specific frequency and time spectral densities of the energy spectra in the frequency and time highs, or a weighted average of frequency and time, and in the energy spectra of high frequencies and large times to the energy of the SP is the s between wells on a set of quantitative spectral-time parameters in the frequency-time scan.

 

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EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

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EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

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EFFECT: higher reliability, higher precision, higher efficiency.

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EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

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EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

SUBSTANCE: method includes performing surface three-dimensional seismic operations using 3D longitudinal waves according to common-depth-point method, drilling wells with extraction of core, electric, radioactive, acoustic and seismic logging, testing of wells, research of core. On basis of total data from drilling and geophysical research of wells, and known criteria, presence of collectors, their capacity, penetrability, hydro-conductivity, oil productiveness, level of water-oil contact, position of oil fields, and also presence of correlative connection between capacity, hydro-conductivity and oil productiveness, are detected and/or estimated. According to data from acoustic, seismic and radioactive logging, and laboratory research of core, liquid models of target deposits are constructed, synthetic seismic trajectories are calculated, along which spectral-temporal analysis is performed and model seismic spectral-temporal and acoustic samples of oil-productive collectors are determined, which together form an oil bed. According to data from surface three-dimensional seismic 3D operations and results of common-depth-point method in area of wells experimental seismic spectral-temporal and pseudo-acoustic images of oil bed are determined. Acoustic and pseudo-acoustic images are estimated using bed-average acoustic and pseudo-acoustic speeds within target range of depths and times. Model seismic, well spectral-temporal analysis results and standard optimal specific results, acoustic and pseudo-acoustic speeds are correlated to capacity, hydro-conductivity, oil productiveness of collectors, regressive dependencies are set as well as mutual correlation coefficient. Along all trajectories of seismic temporal cube within target range of seismic record spectral-temporal analysis is performed and pseudo-acoustic conversions with determining of optimal specific results, pseudo-acoustic speeds and construction of cubes of spectral-speed attributes, which are recalculated to cubes of third powers of capacity, hydro-conductivity and oil productiveness of collectors.

EFFECT: higher reliability, higher precision, higher trustworthiness, higher efficiency.

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4 cl, 2 dwg

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SUBSTANCE: method involves performing seismic exploration; drilling wells; determining reflection horizon seam depth on the base of drilling data; obtaining dependence of above seam depth as a function of relief altitude and determining interval velocity of upper non-uniform layer for following subsurface geologic imaging.

EFFECT: increased accuracy.

FIELD: geophysics.

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EFFECT: higher efficiency, higher trustworthiness.

2 cl, 6 dwg

FIELD: geology, particularly to predict aerial extent and localization of metal, non-metal and fuel deposits of any genesis and age.

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EFFECT: increased efficiency of aerial deposit extend and age prediction.

2 dwg

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