CN112526633A - Volcanic rock weathered shell structure dividing method - Google Patents
Volcanic rock weathered shell structure dividing method Download PDFInfo
- Publication number
- CN112526633A CN112526633A CN201910880745.4A CN201910880745A CN112526633A CN 112526633 A CN112526633 A CN 112526633A CN 201910880745 A CN201910880745 A CN 201910880745A CN 112526633 A CN112526633 A CN 112526633A
- Authority
- CN
- China
- Prior art keywords
- volcanic
- weathering
- index
- reservoir
- weathering crust
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000011435 rock Substances 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 21
- 239000011148 porous material Substances 0.000 claims abstract description 39
- 238000011161 development Methods 0.000 claims abstract description 31
- 238000005094 computer simulation Methods 0.000 claims abstract description 29
- 238000004458 analytical method Methods 0.000 claims description 17
- 239000004927 clay Substances 0.000 claims description 16
- 238000002386 leaching Methods 0.000 claims description 14
- 239000013256 coordination polymer Substances 0.000 claims description 12
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 claims description 10
- 229910052753 mercury Inorganic materials 0.000 claims description 10
- 238000000638 solvent extraction Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 6
- 238000004626 scanning electron microscopy Methods 0.000 claims description 6
- 230000007062 hydrolysis Effects 0.000 claims description 5
- 238000006460 hydrolysis reaction Methods 0.000 claims description 5
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 5
- 239000011707 mineral Substances 0.000 claims description 5
- 238000012512 characterization method Methods 0.000 claims description 3
- 230000003628 erosive effect Effects 0.000 claims description 3
- 230000018109 developmental process Effects 0.000 claims 6
- 230000011218 segmentation Effects 0.000 claims 4
- 238000011158 quantitative evaluation Methods 0.000 abstract description 6
- 206010039509 Scab Diseases 0.000 description 81
- 239000003921 oil Substances 0.000 description 20
- 230000000704 physical effect Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000005192 partition Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 239000002734 clay mineral Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 2
- 230000003301 hydrolyzing effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 238000002441 X-ray diffraction Methods 0.000 description 1
- 230000002146 bilateral effect Effects 0.000 description 1
- 239000003610 charcoal Substances 0.000 description 1
- 229910052729 chemical element Inorganic materials 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000006253 efflorescence Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention provides a volcanic rock weathered shell structure dividing method, which comprises the following steps of S1: selecting cores of weathering crust on the tops of a plurality of volcanic rocks, analyzing the cores to determine the characteristics of each structural zone of the weathering crust of the volcanic rocks, analyzing the response characteristics of each structural zone on a logging curve, and determining a sensitive logging curve capable of reflecting the characteristics of each structural zone; step S2: establishing a computational model of the volcanic weathering crust reservoir development index; step S3: establishing a computational model of volcanic weathering reservoir pore structure indexes; step S4: constructing a computational model of the volcanic weathering crust reservoir comprehensive index by utilizing the volcanic weathering crust reservoir development index and the volcanic weathering crust reservoir pore structure index; step S5: and establishing a quantitative division chart for each structural zone by combining the volcanic weathering crust reservoir comprehensive index and the volcanic clayization index, and dividing the volcanic weathering crust structure. The invention solves the problem that quantitative evaluation on the internal structural characteristics of the weathering crust is lacked in oil exploration.
Description
Technical Field
The invention relates to the technical field of logging evaluation of volcanic rock complex reservoirs in oil exploration, in particular to a volcanic rock weathered shell structure dividing method.
Background
Volcanic reservoir is an important unconventional oil and gas resource, and has become an important field of global oil and gas resource exploration and development. At present, a plurality of high-yield volcanic oil and gas reservoirs are found in the quasi-songorian basin, and the marked volcanic oil and gas reservoirs have great exploration potential.
Compared with undeweathered volcanic rock, the volcanic rock weathered and modified is easier to form a favorable reservoir and a high-yield oil-gas reservoir, so that the research on the volcanic rock weathered shell has important significance for guiding the oil-gas exploration of the volcanic rock. At present, researches on volcanic weathering crust are few, and the researches are mainly focused on the volcanic oil and gas reservoir in northeast China. The pore formation, distribution, weathering crust development modes and the like of volcanic rock weathering crust in Songliao basin have been researched by the predecessors, but the logging evaluation of the internal structural characteristics of the weathering crust is deficient, and compared with the ancient volcanic rock weathering crust in quasi-Pascal basin, the weathering crust has differences in weathering time, thickness of the weathering crust, weathering crust structure, influence on a reservoir stratum and the like. Meanwhile, important findings are obtained in the weathering crust exploration at the top of the rock-charcoal system in the next few years in the Zuccarling-bend region, and the trap resource amount reaches hundred million tons, so that the layer system has good exploration prospect.
That is, the prior art has the problem that quantitative evaluation of the internal structural characteristics of the weathering crust is lacked in oil exploration.
Disclosure of Invention
The invention mainly aims to provide a volcanic rock weathering crust structure dividing method to solve the problem that quantitative evaluation on internal structure characteristics of a weathering crust is lacked in oil exploration in the prior art.
In order to achieve the above object, according to an aspect of the present invention, there is provided a volcanic rock weathered shell structure dividing method, including the steps of: step S1: selecting a rock core of a weathering crust on the top of a plurality of volcanic rocks, performing thin-slice identification, scanning electron microscopy, mercury intrusion analysis data and ESC element content characteristic analysis on the rock core, determining the characteristics of each structural zone of the weathering crust of the volcanic rocks, analyzing the response characteristics of each structural zone on a logging curve, and determining a sensitive logging curve capable of reflecting the characteristics of each structural zone; step S2: establishing a computational model of the volcanic weathering crust reservoir development index by utilizing the sensitive logging curve; step S3: establishing a computational model of the volcanic weathering crust reservoir pore structure index by utilizing nuclear magnetic logging information and a sensitive logging curve; step S4: constructing a computational model of the volcanic weathering crust reservoir comprehensive index capable of comprehensively reflecting volcanic weathering crust reservoir structural characteristics by utilizing the volcanic weathering crust reservoir development index and the volcanic weathering crust reservoir pore structure index; step S5: and establishing a quantitative division chart for each structural zone by combining the volcanic weathering crust reservoir comprehensive index and the volcanic clayization index, and dividing the volcanic weathering crust structure.
Further, in step S1, the core is subjected to slice identification, scanning electron microscopy, mercury intrusion analysis data and ESC elemental content characterization, and the weathering crust is divided into four structural zones by analyzing the clayization content, the pore crack development degree and the elemental mineral composition.
Further, the four structural belts are weathered clay belt, hydrolysis belt, leaching belt and disintegration belt.
Further, the computational model of the weathering crust reservoir development index is:
Cr=(Δρb-Δρ)/Δρm-(1-GR/GRb) Formula (1)
Wherein Cr is a volcanic weathering reservoir development index with the unit of A; delta rho is the density log value of the interval needing to be treated and is given in g/cm3;ΔρbThe density log value of the undegraded volcanic rock is in g/cm3;ΔρmIs the density value of the volcanic skeleton in g/cm3(ii) a GR is the natural gamma of the interval needing to be treated, and the unit is API; GRbIs the natural gamma of the un-weathered volcanic rock, in units of API.
Further, the computational model of the volcanic weathering reservoir pore structure index is as follows:
Pr=[(PHImin+φb)-SIG]/(PHImax-PHImin) Formula (2)
Wherein Pr is a volcanic weathering reservoir pore structure index with a unit of B; phi is abPorosity of the undegraded volcanic rock in units of%; PHImaxThe nuclear magnetic effective pore maximum value of the undegraded volcanic rock is expressed in unit; PHIminThe minimum value of the nuclear magnetic effective pores of the undegraded volcanic rock is expressed in unit; SIG is nuclear magnetic total porosity in%.
Further, the computational model of the volcanic weathering reservoir comprehensive index is as follows:
CP is Cr-Pr formula (3)
Wherein, CP is volcanic weathering reservoir comprehensive index, and the unit is C.
Further, the computational model of the volcanic clayization index is as follows:
wherein S is volcanic clayization index and the unit is D; AC is a sonic logging value with the unit of mu s/ft; CNL is neutron log value, unit is%; DEN is the density log in g/cm3(ii) a Rt is a deep lateral log in Ω · m.
Further, in step S5, the computational model of the volcanic clayization index is constructed by adding the weight correction coefficient according to the actual condition of the region where the volcanic is located.
Further, in step S5, dividing the plate according to the volcanic weathering reservoir comprehensive index and the volcanic clayization index, and when CP is less than 0.6 and S is less than 40, obtaining non-weathered volcanic mother rock; when CP is more than 0.6 and S is less than 40, effective reservoir layer development, cracks and erosion holes are developed, and are leaching zones and disintegration zones; when 75 > S > 40, the reservoir weathering is severe and the fractures are substantially filled, being hydrolytic zones; when S is more than 75, the volcanic rock is highly weathered and basically clayed, and is a weathered clay belt.
Further, in step S1, the volcanic rock weathering causes an increase in clay content, a change in pore structure, and a change in the logging curve, wherein the change in the resistivity curve is manifested as a decrease in resistivity; neutron porosity curve changes manifest as increased neutron porosity; density curve changes are manifested as a decrease in density values; the change of the sound wave time difference curve shows that the sound wave time difference is increased; the natural gamma curve changes to show that the gamma value is increased; the change in nuclear magnetic porosity curve is manifested as an increase in nuclear magnetic porosity.
By applying the technical scheme of the invention, the volcanic rock weathered shell structure dividing method comprises the following steps: step S1: selecting a rock core of a weathering crust on the top of a plurality of volcanic rocks, performing thin-slice identification, scanning electron microscopy, mercury intrusion analysis data and ESC element content characteristic analysis on the rock core, determining the characteristics of each structural zone of the weathering crust of the volcanic rocks, analyzing the response characteristics of each structural zone on a logging curve, and determining a sensitive logging curve capable of reflecting the characteristics of each structural zone; step S2: establishing a computational model of the volcanic weathering crust reservoir development index by utilizing the sensitive logging curve; step S3: establishing a computational model of the volcanic weathering crust reservoir pore structure index by utilizing nuclear magnetic logging information and a sensitive logging curve; step S4: constructing a computational model of the volcanic weathering crust reservoir comprehensive index capable of comprehensively reflecting volcanic weathering crust reservoir structural characteristics by utilizing the volcanic weathering crust reservoir development index and the volcanic weathering crust reservoir pore structure index; step S5: and establishing a quantitative division chart for each structural zone by combining the volcanic weathering crust reservoir comprehensive index and the volcanic clayization index, and dividing the volcanic weathering crust structure.
The characteristics of each structural zone are determined by carrying out slice identification, a scanning electron microscope, mercury intrusion analysis data and ESC element content characteristic analysis on the rock core, and the logging curve capable of reflecting the characteristics of each structural zone is selected as a sensitive logging curve due to different response characteristics of each structural zone on the logging curve. And establishing a model for calculating the volcanic weathering crust reservoir development index by using the data of the sensitive logging curve. And the logging curve comprises nuclear magnetic logging, and a model for calculating the volcanic weathering crust reservoir layer pore structure index is established by utilizing nuclear magnetic logging information and sensitive logging curve information. And constructing a model for calculating the volcanic weathering reservoir comprehensive index by utilizing the volcanic weathering reservoir development index and the volcanic weathering reservoir pore structure index. The volcanic weathering crust reservoir comprehensive index and the volcanic clayization index of the area are utilized to establish each structural zone quantitative partition chart so as to partition the volcanic weathering crust structure, thereby realizing quantitative evaluation of the volcanic weathering crust structure, greatly improving the positioning of the reservoir and enabling oil exploitation to be more convenient.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
figure 1 shows a flow diagram of a volcanic rock weathered shell structure partitioning method of an alternative embodiment of the present invention; and
FIG. 2 is a graphical representation of lithologic characteristics, FMI imaging characteristics, clay content, and chemical content of zones of a weathering crust according to an alternative embodiment of the present invention;
FIG. 3 is a graphical representation of a response characteristic of various structural zones of a volcanic weathering in accordance with an alternative embodiment of the present invention;
FIG. 4 illustrates a weathering crust structure partitioning plate created using the weathering index according to an alternative embodiment of the present invention;
FIG. 5 illustrates a single well weathered shell structure partitioning effect diagram of an alternative embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
It is noted that, unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
In the present invention, unless specified to the contrary, use of the terms of orientation such as "upper, lower, top, bottom" or the like, generally refer to the orientation as shown in the drawings, or to the component itself in a vertical, perpendicular, or gravitational orientation; likewise, for ease of understanding and description, "inner and outer" refer to the inner and outer relative to the profile of the components themselves, but the above directional words are not intended to limit the invention.
The invention provides a volcanic rock weathering crust structure partitioning method, and aims to solve the problem that quantitative evaluation of internal structure characteristics of weathering crust is lacked in oil exploration in the prior art.
As shown in fig. 1 to 5, the volcanic rock weathered shell structure division method includes the following steps: step S1: selecting a rock core of a weathering crust on the top of a plurality of volcanic rocks, performing thin-slice identification, scanning electron microscopy, mercury intrusion analysis data and ESC element content characteristic analysis on the rock core, determining the characteristics of each structural zone of the weathering crust of the volcanic rocks, analyzing the response characteristics of each structural zone on a logging curve, and determining a sensitive logging curve capable of reflecting the characteristics of each structural zone; step S2: establishing a computational model of the volcanic weathering crust reservoir development index by utilizing the sensitive logging curve; step S3: establishing a computational model of the volcanic weathering crust reservoir pore structure index by utilizing nuclear magnetic logging information and a sensitive logging curve; step S4: constructing a computational model of the volcanic weathering crust reservoir comprehensive index capable of comprehensively reflecting volcanic weathering crust reservoir structural characteristics by utilizing the volcanic weathering crust reservoir development index and the volcanic weathering crust reservoir pore structure index; step S5: and establishing a quantitative division chart for each structural zone by combining the volcanic weathering crust reservoir comprehensive index and the volcanic clayization index, and dividing the volcanic weathering crust structure.
The characteristics of each structural zone are determined by carrying out slice identification, a scanning electron microscope, mercury intrusion analysis data and ESC element content characteristic analysis on the rock core, and the logging curve capable of reflecting the characteristics of each structural zone is selected as a sensitive logging curve due to different response characteristics of each structural zone on the logging curve. And establishing a model for calculating the volcanic weathering crust reservoir development index by using the data of the sensitive logging curve. And the logging curve comprises nuclear magnetic logging, and a model for calculating the volcanic weathering crust reservoir layer pore structure index is established by utilizing nuclear magnetic logging information and sensitive logging curve information. And constructing a model for calculating the volcanic weathering reservoir comprehensive index by utilizing the volcanic weathering reservoir development index and the volcanic weathering reservoir pore structure index. The volcanic weathering crust reservoir comprehensive index and the volcanic clayization index of the area are utilized to establish each structural zone quantitative partition chart so as to partition the volcanic weathering crust structure, thereby realizing quantitative evaluation of the volcanic weathering crust structure, greatly improving the positioning of the reservoir and enabling oil exploitation to be more convenient.
In step S1, the core is subjected to slice identification, scanning electron microscopy, mercury intrusion analysis data, and ESC elemental content characterization, and the weathering crust is divided into four structural zones by analyzing the clayization content, the pore crack development degree, and the elemental mineral composition. In step S1, a core of the volcanic rock weathering crust is selected, and then the core is subjected to scanning electron microscope analysis to determine the weathering degree of the core, and then the weathering crust is divided into four structural zones by FMI imaging characteristics, clay content and ECS oxide content. Fig. 2 shows the characteristics of the structural belts on the core, the scanning electron microscope and the imaging, and the difference of the clay mineral content and the chemical elements.
It should be noted that the response characteristics of the logging curve shown in fig. 3 are comprehensive reflection of lithology, physical properties and oil-containing properties, and when the rock is weathered, various curve characteristics change: the various clay minerals produced by weathering result in a decrease in electrical resistivity; an increase in clay content leads to an increase in gamma; when the weathering effect is strong, secondary pores such as cracks and corrosion holes can be generated after the rocks are leached and degraded, so that the neutron, density and sound wave three-porosity logging values are changed; the corresponding nuclear magnetic porosity, which is affected by the pore structure of the reservoir, also changes. Therefore, resistivity, gamma and three-porosity logging curves and nuclear magnetic porosity logging curves which can reflect characteristic changes of all structural zones are preferably selected as sensitive logging curves for weathering crust evaluation. Furthermore, the characteristics of the individual formation bands on the log, as well as the differences in pore throat formation and fractures can be seen in FIG. 3.
Specifically, the four structural belts are weathered clay belts, hydrolysis belts, leaching belts and disintegration belts. The volcanic weathering crust is a layered geologic body formed by physical and chemical weathering of volcanic in surface environment. Collecting rock core data and well logging data of the weathering interval, analyzing the combination and content of clay minerals, the development and filling condition of gap cracks, the mineral components of ECS elements and other geophysical and chemical characteristics through rock core analysis data, mercury intrusion data, a scanning electron microscope and X-ray diffraction, analyzing the structure of each layer from the aspects of petrology, mineralogy, element change and physical properties, and sequentially dividing the weathering crust into a weathering clay belt, a hydrolysis belt, a leaching belt and a disintegration belt from top to bottom. The leaching belt and the disintegration belt have good oil storage function.
It should be noted that, since the leaching zone and the disintegration zone are both good reservoir zones, in the present application, the leaching zone and the disintegration zone are not distinguished.
The computational model of the weathering crust reservoir development index is:
Cr=(Δρb-Δρ)/Δρm-(1-GR/GRb) Formula (1)
Wherein Cr is a volcanic weathering reservoir development index with the unit of A; delta rho is the density log value of the interval needing to be treated and is given in g/cm3;ΔρbThe density log value of the undegraded volcanic rock is in g/cm3;ΔρmIs the density value of the volcanic skeleton in g/cm3(ii) a GR is the natural gamma of the interval needing to be treated, and the unit is API; GRbIs the natural gamma of the un-weathered volcanic rock, in units of API. Because volcanic weathering crust of a region is basically of the same lithology, the response characteristics of logging curves of volcanic weathered rocks are analyzed, so that the natural gamma value of a reservoir layer is increased due to minerals such as clay and the like generated after weathering, the clayization degree is in positive correlation with neutrons and sound waves, and in negative correlation with density. It should be noted that the higher the reservoir development index, the lower the degree of clayization of the volcanic rock weathering, and the more suitable it is for oil storage. In this application, the interval requiring treatment refers to a well section including the top weathering crust, and GR is the actual natural gamma log value of the interval requiring treatment.
The calculation model of the volcanic weathering crust reservoir stratum pore structure index is as follows:
Pr=[(PHImin+φb)-SIG]/(PHImax-PHImin) Formula (2)
Wherein Pr is a volcanic weathering reservoir pore structure index with a unit of B; phi is abPorosity of the undegraded volcanic rock in units of%; PHImaxThe nuclear magnetic effective pore maximum value of the undegraded volcanic rock is expressed in unit; PHIminThe minimum value of the nuclear magnetic effective pores of the undegraded volcanic rock is expressed in unit; SIG is nuclear magnetic total porosity in%. The weathering leaching effect can change physical property pore structures of all structures of the weathering crust, so that part of cracks and corrosion holes of the weathering crust develop, and therefore, a porosity curve and a nuclear magnetic curve which can reflect physical property structural characteristics of a reservoir stratum are selected to establish a volcanic weathering crust reservoir stratum pore structure index.
The computational model of the volcanic weathering crust reservoir stratum comprehensive index is as follows:
CP is Cr-Pr formula (3)
Wherein, CP is volcanic weathering reservoir comprehensive index, and the unit is C. And (4) determining the oil storage capacity of the volcanic rock through analyzing the volcanic rock weathering crust reservoir comprehensive index.
Further, the computational model of the volcanic clayization index is as follows:
wherein S is volcanic clayization index and the unit is D; AC is a sonic logging value with the unit of mu s/ft; CNL is neutron log value, unit is%; DEN is the density log in g/cm3(ii) a Rt is a deep lateral log in Ω · m. And determining the weathering degree of the volcanic rock by analyzing the argillization index of the volcanic rock so as to further divide the structural zone of the volcanic rock.
In step S5, a computational model of the volcanic clayization index is constructed by adding weight correction coefficients according to the actual conditions of the region where the volcanic is located. Because the clayization degree of volcanic rock in each area is different, the weight correction coefficient of the area needs to be added when the volcanic rock weathered shell structure division is carried out on different areas so as to increase the accuracy of the structure band division.
It should be noted that the weight correction coefficients of different regions do not change much, and the weight correction coefficients generally float between 0.8 and 1.2.
In step S5, the plate is divided according to the volcanic weathering reservoir comprehensive index and the volcanic argillization index (as shown in figure 4), and when CP is less than 0.6 and S is less than 40, the plate is the non-weathered volcanic mother rock; when CP is more than 0.6 and S is less than 40, effective reservoir layer development, cracks and erosion holes are developed, and are leaching zones and disintegration zones; when 75 > S > 40, the reservoir weathering is severe and the fractures are substantially filled, being hydrolytic zones; when S is more than 75, the volcanic rock is highly weathered and basically clayed, and is a weathered clay belt. Each structural zone can be quantitatively determined through the volcanic weathering crust reservoir stratum comprehensive index and the volcanic clayization index, and then the leaching zone and the disintegration zone with more oil storage capacity are determined, so that oil can be accurately collected from the leaching zone and the disintegration zone.
As is apparent from fig. 4, the four structural zones can be quantitatively distinguished by using the volcanic clay index S and the volcanic weathering reservoir comprehensive index, so as to increase the accuracy of distinguishing the four structural zones.
In step S1, the volcanic weathering causes an increase in clay content, a change in pore structure, and a change in the logging curve, wherein the change in resistivity curve is a decrease in resistivity; neutron porosity curve changes manifest as increased neutron porosity; density curve changes are manifested as a decrease in density values; the change of the sound wave time difference curve shows that the sound wave time difference is increased; the natural gamma curve changes to show that the gamma value is increased; the change in nuclear magnetic porosity curve is manifested as an increase in nuclear magnetic porosity.
Fig. 5 is a diagram showing the effect of dividing the single-well weathering crust structure, in which the first curve is a natural gamma, a well diameter, and a natural potential curve, the second curve is a depth curve, the third curve is a lithologic profile, the fourth curve is a bilateral resistivity curve, the fifth curve is a three-porosity curve, the sixth curve is a gas-measuring all-hydrocarbon composition curve, the seventh curve is a clayization index (i.e., a clay content curve calculated by a model), the eighth curve is a weathering crust reservoir development index Cr and a crust physical-property pore structure index Pr, the ninth curve is a weathering crust reservoir comprehensive index (i.e., an envelope area of Cr and Pr), the tenth curve is a weathering crust structure zone distribution, and the tenth curve is a test oil junction theory. The volcanic rock weathered crust structural zone at the top of the well is quantitatively divided through the established weathered index calculation model, the oil testing sections are positioned in the leaching zone and the disintegration zone and are high-quality reservoir zones of the weathered crust, the yield reaches the industrial oil quantity, the productivity is high, and therefore the reliability of the method is verified.
It is to be understood that the above-described embodiments are only a few, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular is intended to include the plural unless the context clearly dictates otherwise, and it should be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of features, steps, operations, devices, components, and/or combinations thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A volcanic rock weathered shell structure dividing method is characterized by comprising the following steps:
step S1: selecting a rock core of a multi-opening volcanic top weathering crust, performing thin slice identification, a scanning electron microscope, mercury intrusion analysis data and ESC element content characteristic analysis on the rock core, determining each structural zone characteristic of the volcanic top weathering crust, analyzing the response characteristic of each structural zone on a logging curve, and determining a sensitive logging curve capable of reflecting each structural zone characteristic;
step S2: establishing a computational model of the volcanic weathering crust reservoir development index by utilizing the sensitive logging curve;
step S3: establishing a computational model of the volcanic weathering crust reservoir pore structure index by utilizing nuclear magnetic logging information and the sensitive logging curve;
step S4: constructing a computational model of the volcanic weathering reservoir comprehensive index capable of comprehensively reflecting volcanic weathering reservoir structural characteristics by utilizing the volcanic weathering reservoir development index and the volcanic weathering reservoir pore structural index;
step S5: and establishing a quantitative division chart of each structural zone by utilizing the volcanic weathering crust reservoir comprehensive index and combining the volcanic argillization index, and dividing the volcanic weathering crust structure.
2. The volcanic rock weathering crust structure segmentation method of claim 1, wherein in step S1, the core is subjected to thin slice identification, scanning electron microscopy, mercury intrusion analysis data and ESC element content characterization, and the weathering crust is segmented into four structural zones by analyzing clayization content, pore crack development degree and element mineral composition.
3. The volcanic rock weathered crust structure partitioning method of claim 1, wherein the four structural zones are weathered clay zones, hydrolysis zones, leaching zones, and disintegration zones.
4. The volcanic rock weathering crust structure segmentation method of claim 3, wherein the computational model of the weathering crust reservoir development index is:
Cr=(Δρb-Δρ)/Δρm-(1-GR/GRb) Formula (1)
Wherein Cr is a volcanic weathering reservoir development index with the unit of A; delta rho is the density log value of the interval needing to be treated and is given in g/cm3;ΔρbThe density log value of the undegraded volcanic rock is in g/cm3;ΔρmIs the density value of the volcanic skeleton in g/cm3(ii) a GR is the natural gamma of the interval needing to be treated, and the unit is API; GRbIs the natural gamma of the un-weathered volcanic rock, in units of API.
5. The volcanic rock weathering crust structural partitioning method of claim 4, wherein the computational model of the volcanic rock weathering crust reservoir pore structure index is:
Pr=[(PHImin+φb)-SIG]/(PHImax-PHImin) Formula (2)
Wherein Pr is a volcanic weathering reservoir pore structure index with a unit of B; phi is abPorosity of the undegraded volcanic rock in units of%; PHImaxThe nuclear magnetic effective pore maximum value of the undegraded volcanic rock is expressed in unit; PHIminThe minimum value of the nuclear magnetic effective pores of the undegraded volcanic rock is expressed in unit; SIG is nuclear magnetic total porosity in%.
6. The volcanic rock weathering crust structure segmentation method of claim 5, wherein the computational model of the volcanic rock weathering crust reservoir comprehensive index is:
CP is Cr-Pr formula (3)
Wherein, CP is volcanic weathering reservoir comprehensive index, and the unit is C.
7. The volcanic weathered shell structure partitioning method of claim 6, wherein the computational model of volcanic clayization index is:
wherein S is volcanic clayization index and the unit is D; AC is a sonic logging value with the unit of mu s/ft; CNL is neutron log value, unit is%; DEN is the density log in g/cm3(ii) a Rt is a deep lateral log in Ω · m.
8. The volcanic weathered shell structure segmentation method of claim 7, wherein in step S5, the computational model of volcanic clayization index is constructed by adding weight correction coefficients according to the actual conditions of the region of volcanic rocks.
9. The volcanic weathered shell structure partitioning method of claim 7, wherein in step S5, the plate is partitioned according to the volcanic weathered shell reservoir comprehensive index and the volcanic clayization index, and when CP < 0.6 and S < 40, the plate is undeweathered volcanic mother rock; when CP is more than 0.6 and S is less than 40, effective reservoir layer development, cracks and erosion holes are developed, namely the leaching zone and the disintegration zone; when 75 > S > 40, reservoir weathering is severe and fractures are substantially filled, being the zone of hydrolysis; when S is more than 75, the volcanic rock is highly weathered and is basically clayed, and the weathered clay zone is formed.
10. The volcanic weathered crust structural partitioning method of claim 3, wherein in step S1, the volcanic weathers to cause an increase in clay content and a change in pore structure, and the well log curve is changed, wherein the change in resistivity curve is represented by a decrease in resistivity; neutron porosity curve changes manifest as increased neutron porosity; density curve changes are manifested as a decrease in density values; the change of the sound wave time difference curve shows that the sound wave time difference is increased; the natural gamma curve changes to show that the gamma value is increased; the change in nuclear magnetic porosity curve is manifested as an increase in nuclear magnetic porosity.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910880745.4A CN112526633B (en) | 2019-09-18 | 2019-09-18 | Volcanic rock weathering crust structure dividing method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910880745.4A CN112526633B (en) | 2019-09-18 | 2019-09-18 | Volcanic rock weathering crust structure dividing method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112526633A true CN112526633A (en) | 2021-03-19 |
CN112526633B CN112526633B (en) | 2023-10-31 |
Family
ID=74975025
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910880745.4A Active CN112526633B (en) | 2019-09-18 | 2019-09-18 | Volcanic rock weathering crust structure dividing method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112526633B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0151073A2 (en) * | 1984-01-26 | 1985-08-07 | Schlumberger Limited | Quantitative determination by elemental logging of subsurface formation properties |
CN103645519A (en) * | 2013-12-17 | 2014-03-19 | 中国石油大学(华东) | Volcanic rock weathering crust identification and classification standard based oil and gas exploration method |
CN103744109A (en) * | 2013-12-26 | 2014-04-23 | 中国石油天然气股份有限公司 | Method for identifying weathering crust structure of clastic rock in coverage area without well |
CN105626058A (en) * | 2015-12-30 | 2016-06-01 | 中国石油天然气股份有限公司 | Method and device for determining development degree of reservoir karst |
WO2016161914A1 (en) * | 2015-04-07 | 2016-10-13 | 四川行之智汇知识产权运营有限公司 | Method for predicting reservoir lithogenous phase using geology and logging information |
CN107764973A (en) * | 2016-08-18 | 2018-03-06 | 郭强 | Sedimentary rock diagenetic stage analysis method |
CN107829731A (en) * | 2017-11-06 | 2018-03-23 | 陈国军 | A kind of volcanic rock porosity correction method of clay alteration |
CN109339773A (en) * | 2018-10-09 | 2019-02-15 | 中国地质大学(北京) | Based on conglomerate matrix content well logging porosity model and its construction method and application |
CN109709301A (en) * | 2018-11-30 | 2019-05-03 | 中国石油天然气股份有限公司 | Method, device and system for determining distribution of fracture pore type tight sandstone reservoir |
CN109826623A (en) * | 2019-03-22 | 2019-05-31 | 中国石油化工股份有限公司 | Knowledge method is sentenced in a kind of geophysical log of tight sandstone reservoir stratification seam |
-
2019
- 2019-09-18 CN CN201910880745.4A patent/CN112526633B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0151073A2 (en) * | 1984-01-26 | 1985-08-07 | Schlumberger Limited | Quantitative determination by elemental logging of subsurface formation properties |
CN103645519A (en) * | 2013-12-17 | 2014-03-19 | 中国石油大学(华东) | Volcanic rock weathering crust identification and classification standard based oil and gas exploration method |
CN103744109A (en) * | 2013-12-26 | 2014-04-23 | 中国石油天然气股份有限公司 | Method for identifying weathering crust structure of clastic rock in coverage area without well |
WO2016161914A1 (en) * | 2015-04-07 | 2016-10-13 | 四川行之智汇知识产权运营有限公司 | Method for predicting reservoir lithogenous phase using geology and logging information |
CN105626058A (en) * | 2015-12-30 | 2016-06-01 | 中国石油天然气股份有限公司 | Method and device for determining development degree of reservoir karst |
CN107764973A (en) * | 2016-08-18 | 2018-03-06 | 郭强 | Sedimentary rock diagenetic stage analysis method |
CN107829731A (en) * | 2017-11-06 | 2018-03-23 | 陈国军 | A kind of volcanic rock porosity correction method of clay alteration |
CN109339773A (en) * | 2018-10-09 | 2019-02-15 | 中国地质大学(北京) | Based on conglomerate matrix content well logging porosity model and its construction method and application |
CN109709301A (en) * | 2018-11-30 | 2019-05-03 | 中国石油天然气股份有限公司 | Method, device and system for determining distribution of fracture pore type tight sandstone reservoir |
CN109826623A (en) * | 2019-03-22 | 2019-05-31 | 中国石油化工股份有限公司 | Knowledge method is sentenced in a kind of geophysical log of tight sandstone reservoir stratification seam |
Non-Patent Citations (1)
Title |
---|
伍劲 等: "柴达木盆地东坪地区基岩风化壳特征", 现代地质, vol. 31, no. 1, pages 129 - 141 * |
Also Published As
Publication number | Publication date |
---|---|
CN112526633B (en) | 2023-10-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103670383B (en) | Method and equipment for identifying effective reservoir of shale oil reservoir | |
CN106154351A (en) | A kind of evaluation method of low porosity permeability reservoir permeability | |
CN103616731B (en) | Method and device for determining altered volcanic rock effective reservoir in oil and gas exploration | |
CN103914620B (en) | Method for computing distribution of opening spaces of fractures of fault rupture zones | |
CN103308433A (en) | Method for analyzing and evaluating tight sandstone reservoir diagenetic facies based on porosity evolution | |
CN106021793A (en) | Low-permeability reservoir sweet spot evaluation method based on storage coefficients and seepage coefficients | |
CN112698399A (en) | Gravel well seismic-logging linkage constraint efficient reservoir quantitative prediction method and system | |
CN104749651A (en) | Method for logging and quantitative identification of shale desserts based on facies-controlled multilevel reconstruction | |
CN111206921A (en) | Description method suitable for favorable reservoir stratum of volcanic overflow phase | |
CN102721984B (en) | Method for predicting concealed reservoir in clastic rock | |
CN112228050B (en) | Method for quantitatively evaluating macroscopic heterogeneity of tight oil reservoir and application thereof | |
Yang et al. | Addressing microseismic uncertainty from geological aspects to improve accuracy of estimating stimulated reservoir volumes | |
CN112784404B (en) | Method for calculating saturation of bonded water in sandstone based on conventional logging data | |
RU2418948C1 (en) | Procedure for geological examination of wells | |
CN112526633B (en) | Volcanic rock weathering crust structure dividing method | |
Zhang et al. | Architecture characteristics and characterization methods of fault-controlled karst reservoirs: A case study of the Shunbei 5 fault zone in the Tarim Basin, China | |
CN114059999B (en) | Gravity flow deposition cause logging identification method | |
WO2022242200A1 (en) | Method and apparatus for identifying high permeability streaks in marine carbonate rock bioclastic limestone oil reservoir | |
CN111352154B (en) | Reservoir prediction method based on wide-azimuth earthquake | |
CN114482995A (en) | Fine determination method for argillaceous content of fine-grain sediment | |
Fu et al. | The relation of the “four properties” and fluid identification of the carboniferous weathering crust volcanic reservoir in the Shixi Oilfield, Junggar Basin, China | |
CN112987126A (en) | Geophysical prediction method for rock physical facies | |
Li et al. | Three-dimensional reservoir architecture modeling by geostatistical techniques in BD block, Jinhu depression, northern Jiangsu Basin, China | |
CN115263282B (en) | Deep compact sandstone reservoir type identification method and electronic equipment | |
Huang et al. | Development characteristics and prediction of fractures in deep-ultradeep tight sandstone reservoirs of Kuqa Depression: a case study of the Bashijiqike and Baxigai formations in Dabei 9 Block |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |