CN104975850A - Carbonate rock microfacies type identification method and sedimentary facies description method thereof - Google Patents

Carbonate rock microfacies type identification method and sedimentary facies description method thereof Download PDF

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CN104975850A
CN104975850A CN201410129097.6A CN201410129097A CN104975850A CN 104975850 A CN104975850 A CN 104975850A CN 201410129097 A CN201410129097 A CN 201410129097A CN 104975850 A CN104975850 A CN 104975850A
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microfacies
facies
feature
well
types
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游瑜春
刘国萍
冯琼
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China Petroleum and Chemical Corp
Sinopec Exploration and Production Research Institute
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China Petroleum and Chemical Corp
Sinopec Exploration and Production Research Institute
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Abstract

The invention provides a carbonate rock microfacies type identification method and a sedimentary facies description method thereof; the microfacies type identification method comprises the following steps: a microfacies classifying step: carrying out microfacies classification for a single well coring segment so as to obtain a plurality of microfacies types; a microfacies identification step: obtaining features of the microfacies types, and identifying each microfacies type according to the features of the microfacies types, wherein the microfacies type features comprise at least one of the following features: imaging logging image feature and earthquake reflection composition feature. In a microfacies types identifying process, the method combines the imaging logging image feature with the earthquake reflection composition feature, thus more accurately identifying microfacies of the carbonate rocks.

Description

Microfacies of carbonate rock kind identification method and sedimentary facies describing method thereof
Technical field
The invention belongs to oil exploration and development fields, particularly, relate to a kind of microfacies of carbonate rock kind identification method and sedimentary facies describing method thereof.
Background technology
At present, common sedimentary facies describing method mainly comprises the following steps:
S10, microfacies dividing step, carry out microfacies dividing to the individual well section of coring, and obtains multiple Microfacies Types;
S20, microfacies identification step, obtain the feature of each Microfacies Types, and identify each Microfacies Types according to the feature of each Microfacies Types;
S30, single well facies partiting step, according to the feature of each Microfacies Types and the feature of the individual well section of not coring, carry out microfacies dividing to the individual well section of not coring;
S40, even well profile phase partiting step, according to the result of single well facies partiting step, the company's of division well profile phase;
S50, Distribution of Sedimentary Facies determining step, according to result and the result connecting well profile phase partiting step of above-mentioned single well facies partiting step, determine Distribution of Sedimentary Facies.
In microfacies identification step, usually adopt two kinds of methods to identify each Microfacies Types, the first is the morphological feature of the gamma ray curve obtaining each Microfacies Types, and identifies Microfacies Types according to the morphological feature of this gamma ray curve.Because carbonate rock is mainly deposited as master with biological and chemical, there is not the lithology difference caused because gravity is different, the morphological feature of therefore dissimilar in carbonate rock lithology on gamma ray curve is basically identical.As can be seen here, the lithology of carbonate rock can not be identified according to the morphological feature of gamma ray curve exactly, more can not divide its Microfacies Types exactly, thus it is lower to cause the sedimentary facies of carbonate rock to describe the degree of accuracy.
The second is the multiple logs obtaining each Microfacies Types, and carries out cluster analysis to these logs, and the result feature according to cluster analysis identifies Microfacies Types.Due to carbonate rock, especially the reef beach reservoir of carbonate rock, there is the features such as complex lithology, transition lithology be many, this makes the result feature of cluster analysis have multi-solution, therefore this method can not identify the Microfacies Types of carbonate rock equally exactly, and directly perceived not, thus it is lower to cause the sedimentary facies of carbonate rock to describe the degree of accuracy.
In Distribution of Sedimentary Facies determining step, due to reef flat body many phases time grow, transverse phase transition is fast, therefore the direct result according to single well facies partiting step and the result connecting well profile phase partiting step, determine Distribution of Sedimentary Facies, be difficult to determine reef flat body border and stacked relation.
Summary of the invention
The present invention is intended at least solve the technical problem existed in prior art, especially innovatively proposes a kind of microfacies of carbonate rock kind identification method, to solve the lower problem of microfacies of carbonate rock type identification rate.
The present invention also provides a kind of SEDIMENTARY FACIES OF CARBONATE ROCKS describing method, describes the lower problem of the degree of accuracy to solve SEDIMENTARY FACIES OF CARBONATE ROCKS.
In order to realize above-mentioned purpose of the present invention, according to an aspect of the present invention, the invention provides a kind of microfacies of carbonate rock kind identification method, comprising:
Microfacies dividing step, carries out microfacies dividing to the individual well section of coring, and obtains multiple Microfacies Types;
Microfacies identification step, obtain the feature of Microfacies Types described in each, and according to the feature of Microfacies Types described in each, identify Microfacies Types described in each, wherein, the feature of described Microfacies Types comprises at least one feature in imaging logging image characteristic sum seismic reflection configuration feature.
In one embodiment of the invention, in described microfacies identification step, the feature of described Microfacies Types also comprises the feature of log.
In one embodiment of the invention, in described microfacies identification step, the feature of described log comprises at least one in the codomain distribution characteristics of log and tracing pattern feature.
In one embodiment of the invention, in described microfacies identification step, described log comprises at least one in Natural Gamma-ray Logging Curves, neutron well logging curve, acoustic logging and density log curve.
In one embodiment of the invention, described microfacies dividing step, comprising: according to rock core and the thin section identification data of the individual well section of coring, carry out microfacies dividing, obtain multiple Microfacies Types to the described individual well section of coring.
According to another aspect of the present invention, the present invention also provides a kind of SEDIMENTARY FACIES OF CARBONATE ROCKS describing method, comprising:
Single well facies partiting step, adopt above-mentioned microfacies of carbonate rock kind identification method, obtain the corresponding relation of each Microfacies Types and its feature, and according to the feature of the characteristic sum of the individual well section of not coring Microfacies Types described in each, microfacies dividing is carried out to the described individual well section of not coring;
Connect well profile phase partiting step, according to the result of described single well facies partiting step, the company's of division well profile phase;
Distribution of Sedimentary Facies determining step, according to result and the result connecting well profile phase partiting step of described single well facies partiting step, determines Distribution of Sedimentary Facies.
In one embodiment of the invention, this SEDIMENTARY FACIES OF CARBONATE ROCKS describing method also comprises:
Sedimentary evolution model establishment step, according to described Distribution of Sedimentary Facies, in conjunction with Modern Coral Reefs and ancient times Sponge Reef deposition rule, set up sedimentary evolution model.
In one embodiment of the invention, described even well profile phase partiting step, comprising: according to the result of described single well facies partiting step, and the company's of combination well seismic reflection configuration feature, the company's of division well profile phase.
In one embodiment of the invention, described Distribution of Sedimentary Facies determining step, comprising:
Adopt ancient landform analytical technology and seismic facies analysis technique, obtain ancient landform and the seismic facies attributed graph of carbonate rock;
According to result and the result connecting well profile phase partiting step of described single well facies partiting step, the ancient landform and seismic facies attributed graph of described carbonate rock portray sedimentary facies modified line, thus determines Distribution of Sedimentary Facies.
In sum, owing to have employed technique scheme, the invention has the beneficial effects as follows:
1, the present invention is in Microfacies Types identifying, the mode that employing features of logging curve, imaging logging image characteristic sum seismic reflection configuration feature three combine, and can identify the Microfacies Types of carbonate rock more exactly;
2, the present invention is in Microfacies Types identifying, features of logging curve adopts and reflects than more sensitive Natural Gamma-ray Logging Curves, neutron well logging curve, acoustic logging and density log curve the lithology of carbonate rock, further increases the accurate resolution of Microfacies Types;
3, the present invention is in single well facies partition process, adopts microfacies of carbonate rock kind identification method provided by the invention, carries out Microfacies Types identification to the individual well section of not coring, improve the degree of accuracy of individual well microfacies dividing;
4, the present invention is connecting in well profile phase partition process, the company's of combining well seismic reflection configuration, the degree of accuracy that the company's of improve well profile divides mutually;
5, the present invention is in Distribution of Sedimentary Facies deterministic process, first ancient landform analytical technology and seismic facies analysis technique is adopted, obtain ancient landform and the seismic facies attributed graph of carbonate rock, again according to result and the result connecting well profile phase partiting step of single well facies partiting step, the ancient landform and seismic facies attributed graph of carbonate rock portray sedimentary facies modified line, thus determine Distribution of Sedimentary Facies, reef flat body border and stacked relation can be determined more exactly, improve the description degree of accuracy of sedimentary facies;
6, the present invention is based on above-mentioned Distribution of Sedimentary Facies, in conjunction with Modern Coral Reefs and ancient times Sponge Reef deposition rule, establish sedimentary evolution model accurately.
Additional aspect of the present invention and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
Above-mentioned and/or additional aspect of the present invention and advantage will become obvious and easy understand from accompanying drawing below combining to the description of embodiment, wherein:
Fig. 1 is the flow chart of the microfacies of carbonate rock recognition methods that embodiments of the invention 1 provide;
Fig. 2 is the flow chart of the SEDIMENTARY FACIES OF CARBONATE ROCKS describing method that embodiments of the invention 2 provide;
Fig. 3 is the flow chart of the SEDIMENTARY FACIES OF CARBONATE ROCKS describing method that embodiments of the invention 3 provide;
Fig. 4 is the microfacies recognition result of the Yuan Ba gas field Changxing Group that embodiments of the invention 4 provide;
Fig. 5 is the single well facies division result implementing the Yuan Ba gas field Changxing Group that profit 4 provides of the present invention;
Fig. 6 is the Distribution of Sedimentary Facies determination result of the Yuan Ba gas field Changxing Group that embodiments of the invention 4 provide;
Fig. 7 is the sedimentary evolution model result of the Yuan Ba gas field Changxing Group that embodiments of the invention 4 provide.
Detailed description of the invention
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the embodiment be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.
Fig. 1 shows the flow chart of the microfacies of carbonate rock recognition methods that embodiments of the invention 1 provide, and as shown in Figure 1, the method comprises the following steps.
S100, microfacies dividing step, carry out microfacies dividing to the individual well section of coring, and obtains multiple Microfacies Types.
In microfacies dividing step, the rock core usually reflected according to rock core and thin section identification data combines and sedimentary structure feature, carries out microfacies dividing, obtain multiple Microfacies Types to the individual well section of coring.The individual well section of coring refers to the well section drilling through rock core.
S200, microfacies identification step, obtain the feature of each Microfacies Types, and according to the feature of each Microfacies Types, identify each Microfacies Types, wherein, the feature of Microfacies Types comprises at least one feature in imaging logging image characteristic sum seismic reflection configuration feature.
In one embodiment of the invention, in step S200, the feature of Microfacies Types also comprises the feature of log.The feature of this log comprises codomain distribution characteristics and the tracing pattern feature of log.
The present invention is in Microfacies Types identifying, and the mode that employing features of logging curve, imaging logging image characteristic sum seismic reflection configuration feature three combine, can identify the Microfacies Types of carbonate rock more exactly.
In another embodiment of the invention, log comprises at least one in Natural Gamma-ray Logging Curves, neutron well logging curve, acoustic logging and density log curve.Because above-mentioned log is all more responsive to the reflection of the lithology of carbonate rock, therefore further increase the accurate resolution of Microfacies Types, and compared to the method for multiple log cluster analysis, adopt the form of log more directly perceived.
Fig. 2 shows the flow chart of the SEDIMENTARY FACIES OF CARBONATE ROCKS describing method that embodiments of the invention 2 provide, and as shown in Figure 2, the method comprises the following steps.
S300, single well facies partiting step, adopt the microfacies of carbonate rock kind identification method described in above-mentioned steps S100 to S200, obtain the corresponding relation of each Microfacies Types and its feature, and the feature of each Microfacies Types of characteristic sum according to the individual well section of not coring, microfacies dividing is carried out to the individual well section of not coring.When the feature of a certain individual well section of not coring and the feature of a certain Microfacies Types same or similar time, determine that the Microfacies Types of this individual well section of not coring is this Microfacies Types.
The present invention, in single well facies partition process, adopts the microfacies of carbonate rock kind identification method described in step S100 to S200, carries out Microfacies Types identification, improve the degree of accuracy of individual well microfacies dividing to the individual well section of not coring.
S400, even well profile phase partiting step, according to the result of single well facies partiting step, the company's of division well profile phase.
In one embodiment of the invention, step S400 comprises: according to the result of single well facies partiting step, and the company's of combination well seismic reflection configuration feature, the company's of division well profile phase.
When individual well is more, designer can according to the result of single well facies partiting step, be easy to the company's of acquisition well profile phase, and the less situation of individual well is then different with it.The present invention is connecting in well profile phase partition process, the company's of combining well seismic reflection configuration, the degree of accuracy that the company's of improve well profile divides mutually.
S500, Distribution of Sedimentary Facies determining step, according to result and the result connecting well profile phase partiting step of single well facies partiting step, determine Distribution of Sedimentary Facies.In one embodiment of the invention, step S500 comprises:
Adopt ancient landform analytical technology and seismic facies analysis technique, obtain ancient landform and the seismic facies attributed graph of carbonate rock;
According to result and the result connecting well profile phase partiting step of single well facies partiting step, the ancient landform and seismic facies attributed graph of carbonate rock portray sedimentary facies modified line, thus determines Distribution of Sedimentary Facies.
The present invention is in Distribution of Sedimentary Facies deterministic process, first ancient landform analytical technology and seismic facies analysis technique is adopted, obtain ancient landform and the seismic facies attributed graph of carbonate rock, again according to result and the result connecting well profile phase partiting step of single well facies partiting step, the ancient landform and seismic facies attributed graph of carbonate rock portray sedimentary facies modified line, thus determine Distribution of Sedimentary Facies, reef flat body border and stacked relation can be determined more exactly, improve the description degree of accuracy of sedimentary facies.
Fig. 3 shows the flow chart of the SEDIMENTARY FACIES OF CARBONATE ROCKS describing method that embodiments of the invention 3 provide.The step that in Fig. 3, label is identical with Fig. 2 has identical function, for simplicity's sake, omits the detailed description to these steps.
As shown in Figure 3, shown in Fig. 3, the main distinction of method shown in method and Fig. 2 is, also comprises:
S600, sedimentary evolution model establishment step, according to Distribution of Sedimentary Facies, in conjunction with Modern Coral Reefs and ancient times Sponge Reef deposition rule, set up sedimentary evolution model.Thus, the present invention also establishes sedimentary evolution model accurately.
Because the reservoir of Yuan Ba gas field Changxing Group is based on carbonate rock, embodiments of the invention 4 are for Yuan Ba gas field Changxing Group, and the Microfacies Types identifying and the sedimentary facies that describe carbonate rock in detail describe process.
Carrying out in Microfacies Types identifying to the carbonate rock of Yuan Ba gas field Changxing Group, as shown in Figure 4, first carry out carrying out microfacies dividing to the individual well section of coring, to obtain in outside scene-affinity organic reef, inner side scene-affinity organic reef, platform between point reef, lagoon/beach, scene-affinity raw bits beach, some beach and seven kinds, Tai Neidian beach, east Microfacies Types in western platform.
Then, obtain the feature of each Microfacies Types, the feature of this Microfacies Types comprises seismic reflection configuration feature, features of logging curve and imaging logging image feature, and wherein the seismic reflection configuration of outside scene-affinity organic reef is characterized as: mound shape, " bright spot " reflection; Features of logging curve is: GR curve is straight, value average out to 10.5-15.5, DEN curve tooth, and CNL, AC curve increases; Imaging logging image is characterized as: reef lid is that brown is block, the grain bits feature that visible chip is larger, and reef base, reef core are that light tone is block, and grain bits granularity is less;
The seismic reflection configuration of inner side scene-affinity organic reef is characterized as: mound shape, " bright spot " reflection; Features of logging curve is: GR curve is straight, value average out to 15.5, and comparatively outside scene-affinity, reef is high, but lower than putting beach in platform, and DEN curve is more straight, and CNL curve local increases; Imaging logging image is characterized as: reef lid is that brown is block, the grain bits feature that visible chip is larger, and reef base, reef core are that light tone is block, and grain bits granularity is less;
In platform, the seismic reflection configuration of point reef is characterized as: mound shape, " bright spot " reflection; Features of logging curve is: GR curve is straight or more straight, value average out to 10.7-17.5, and comparatively outside scene-affinity, reef is high, but lower than putting beach in platform, the micro-tooth of DEN curve, and CNL, AC curve increases; Imaging logging image is characterized as: reef lid is for yellow block, and grain bits feature is obvious, and reef base, reef core are that light tone is block, see that grain is considered to be worth doing;
Seismic reflection configuration between lagoon/beach is characterized as: parallel, sub-reflected in parallel, pushes up as strong reflection; Features of logging curve is: GR curve high-amplitude is serrating, and three porosity curve is more straight; Imaging logging image is characterized as: dark-coloured stratiform;
The seismic reflection configuration on scene-affinity raw bits beach is characterized as: " low frequency, middle intensity become amplitude, a little earthworm shape complex wave "; Features of logging curve is: GR curve is straight, value average out to 14.3-17.5, the micro-tooth of DEN curve, and CNL, AC curve increases; Imaging logging image is characterized as: yellow, brown thick massive;
In western platform, the seismic reflection configuration on some beach is characterized as: " mound shape, mixed and disorderly " reflection or " mound shape, 2 points " reflection; Features of logging curve is: GR curve is serrating by a narrow margin, value average out to 20.3-21.5, and DEN curve is more straight, and CNL, AC curve increases; Imaging logging image is characterized as: light tone is block;
The seismic reflection configuration on Tai Neidian beach, east is characterized as: wave character is not obvious; Features of logging curve is: GR curve is straight, is worth lower, and average 14.9, DEN curves are more straight, and CNL, AC curve increases; Imaging logging image is characterized as: light tone is block.
Finally, according to the corresponding relation of above-mentioned seven kinds of Microfacies Types and its feature, microfacies identification is carried out to the individual well section of not coring in the Changxing Group of Yuan Ba gas field.
It is to be noted that above-mentioned GR curve refers to Natural Gamma-ray Logging Curves, DEN curve refers to density log curve, and CNL curve refers to neutron well logging curve, and AC curve refers to acoustic logging.
Describe in process carrying out sedimentary facies to the carbonate rock of Yuan Ba gas field Changxing Group, first seven kinds of Microfacies Types according to Fig. 4 and the corresponding relation of its feature, microfacies dividing is carried out to the individual well section of not coring in the Changxing Group of Yuan Ba gas field, the result of its individual well microfacies dividing as shown in Figure 5, as can be seen from the figure, the early stage major developmental of Yuan Ba gas field Changxing Group raw bits beach microfacies (that is: be expressed as from bottom to up in platform and put m-scene-affinity raw bits beach, beach-beach in point m-of beach-beach), major developmental organic reef microfacies in late period (that is: being expressed as reef base-reef core-reef lid-reef core-reef lid from bottom to up).
Secondly, according to above-mentioned single well facies division result, the company's of division well profile phase.
Again, according to above-mentioned single well facies division result with connect well profile division result, determine the Distribution of Sedimentary Facies of Yuan Ba gas field Changxing Group, as shown in Figure 6,8 mouthfuls of new wells that the later stage completes drilling well Distribution of Sedimentary Facies of growing therewith figure fits like a glove.
Finally, according to above-mentioned Distribution of Sedimentary Facies result, in conjunction with Modern Coral Reefs and ancient times Sponge Reef deposition rule, set up the sedimentary evolution model of Yuan Ba gas field Changxing Group, as shown in Figure 7, this sedimentary evolution model figure is used to guide reservoir prediction and portrays, the accuracy that can improve reservoir prediction He portray.
In the description of this manual, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, identical embodiment or example are not necessarily referred to the schematic representation of above-mentioned term.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.
Although illustrate and describe embodiments of the invention, those having ordinary skill in the art will appreciate that: can carry out multiple change, amendment, replacement and modification to these embodiments when not departing from principle of the present invention and aim, scope of the present invention is by claim and equivalents thereof.

Claims (9)

1. a microfacies of carbonate rock kind identification method, is characterized in that, comprising:
Microfacies dividing step, carries out microfacies dividing to the individual well section of coring, and obtains multiple Microfacies Types;
Microfacies identification step, obtain the feature of Microfacies Types described in each, and according to the feature of Microfacies Types described in each, identify Microfacies Types described in each, wherein, the feature of described Microfacies Types comprises at least one feature in imaging logging image characteristic sum seismic reflection configuration feature.
2. method according to claim 1, is characterized in that, in described microfacies identification step, the feature of described Microfacies Types also comprises the feature of log.
3. method according to claim 2, is characterized in that, in described microfacies identification step, the feature of described log comprises at least one in the codomain distribution characteristics of log and tracing pattern feature.
4. according to the method in claim 2 or 3, it is characterized in that, in described microfacies identification step, described log comprises at least one in Natural Gamma-ray Logging Curves, neutron well logging curve, acoustic logging and density log curve.
5. method according to claim 1, is characterized in that, described microfacies dividing step, comprising: according to rock core and the thin section identification data of the individual well section of coring, carry out microfacies dividing, obtain multiple Microfacies Types to the described individual well section of coring.
6. a SEDIMENTARY FACIES OF CARBONATE ROCKS describing method, is characterized in that, comprising:
Single well facies partiting step, adopt the method according to any one of claim 1 to 5, obtain the corresponding relation of each Microfacies Types and its feature, and according to the feature of the characteristic sum of the individual well section of not coring Microfacies Types described in each, microfacies dividing is carried out to the described individual well section of not coring;
Connect well profile phase partiting step, according to the result of described single well facies partiting step, the company's of division well profile phase;
Distribution of Sedimentary Facies determining step, according to result and the described result connecting well profile phase partiting step of described single well facies partiting step, determines Distribution of Sedimentary Facies.
7. method according to claim 6, is characterized in that, also comprises:
Sedimentary evolution model establishment step, according to described Distribution of Sedimentary Facies, in conjunction with Modern Coral Reefs and ancient times Sponge Reef deposition rule, set up sedimentary evolution model.
8. method according to claim 6, is characterized in that, described even well profile phase partiting step, comprising: according to the result also company's of combination well seismic reflection configuration feature of described single well facies partiting step, the company's of division well profile phase.
9. method according to claim 6, is characterized in that, described Distribution of Sedimentary Facies determining step, comprising: adopt ancient landform analytical technology and seismic facies analysis technique, obtains ancient landform and the seismic facies attributed graph of carbonate rock;
According to result and the described result connecting well profile phase partiting step of described single well facies partiting step, the ancient landform and seismic facies attributed graph of described carbonate rock portray sedimentary facies modified line, thus determines Distribution of Sedimentary Facies.
CN201410129097.6A 2014-04-01 2014-04-01 Carbonate rock microfacies type identification method and sedimentary facies description method thereof Pending CN104975850A (en)

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CN106226841A (en) * 2016-07-11 2016-12-14 中国石油大学(华东) A kind of fluvial facies three-dimensional sedimentary facies model Decided modelling method
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CN108921187B (en) * 2018-05-16 2021-05-28 中国地质大学(北京) Oolitic beach type dividing method and device
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CN113050171B (en) * 2020-06-01 2024-01-30 中国石油天然气股份有限公司 Method for identifying tide in sea-phase carbonate rock stratum
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