CN102520446A - High-precision automatic identification system for three-dimensional sequence - Google Patents
High-precision automatic identification system for three-dimensional sequence Download PDFInfo
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- CN102520446A CN102520446A CN201210002557XA CN201210002557A CN102520446A CN 102520446 A CN102520446 A CN 102520446A CN 201210002557X A CN201210002557X A CN 201210002557XA CN 201210002557 A CN201210002557 A CN 201210002557A CN 102520446 A CN102520446 A CN 102520446A
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Abstract
The invention discloses a high-precision automatic identification system for a three-dimensional sequence. The system comprises a data acquisition device (1), a seismic time-frequency analysis device (2), a logging cycle analysis device (3), an automatic sequence identification device (4) and a sequence output device (5), wherein the data acquisition device (1) is connected with the seismic time-frequency analysis device (2) and the logging cycle analysis device (3) respectively; and the automatic sequence identification device (4) is connected with the seismic time-frequency analysis device (2), the logging cycle analysis device (3) and the sequence output device (5) respectively. By the system, the problem that the three-dimensional sequence has a low speed is solved, and the problem that a sequence space is difficult to close is effectively solved. The system automatically identifies the sequence in the three-dimensional space based on seismic event tracking through well logging and position restriction according to the seismic time-frequency analysis and logging cycle analysis by taking cycle matching as a core. The system has good application effects of dividing sequences, identifying sedimentary facies and sedimentary systems, realizing sedimentary evolution of reservoirs and contributing to reservoir distribution.
Description
Technical field
The present invention relates to petroleum prospecting seismic interpretation and synthetic study field, relate in particular to sequence and divide and use.
Background technology
Sequence stratigraphy be comprehensive utilization well logging, a drilling well and appear, data such as earthquake, explain research stratum spread pattern, the geological sciences of sedimentary environment and lithofacies characteristics in conjunction with relevant sedimentary environment and lithofacies palaeogeography.Through the division and the research of sequence, can obtain sedimentary environment and sedimentary facies distribution characteristic, be the important foundation of carrying out reservoir prediction.The core of sequence stratigraphy is the foundation of Sequence Stratigraphic Formation and the identification of sequence boundaries.In the sequence research of routine, be under the calibration constraint of well, through analyzing the sign of sedimentation and seismic section sequence, identify sequence and system tract interface, and analyze and contrast, thus sequence stratigraphic framework during foundation etc.With three grades of sequences is unit, and the sedimentary system of its inside and the development characteristics of system tract are studied, and confirms main sedimentary system and system tract type, sets up three-dimensional petrofacies syntagmatic, and the space spread characteristic of sedimentary system is studied.In conjunction with in the past exploration experience and life, storage, lid development characteristics, every type system tract and oil gas are discussed are composed the relation of depositing, predict favourable oil-gas bearing area band.In the sequence research of routine; Because be to study according to the age Sequence Stratigraphic Formation of setting up, therefore, in the plane; The inner sequence boundaries of its screen work is inserted in can only carrying out according to the data boundary on the screen work; Cause age stratum ratio of precision the end of than, can only wholely reflect its trend, can't portray its inner concrete distribution; On section, generally also can only be divided into three grades of sequences, can't portray the inner variations in detail of sequence in more detail.High-precision three-dimensional sequence automatic recognition system, it is lower to have overcome conventional sequence dividing precision, the problem that efficient is lower; Demarcate through the well shake, under the constraint of sequence boundaries, inner through automatic tracking and identification to sequence boundaries in sequence; The inner variation of the same sequence of portrayal that can be detailed, simultaneously, according to the resolution of seismic data; Improve the vertical resolution of sequence, can sequence be sub-divided into the level Four sequence.
Summary of the invention
The objective of the invention is in the division and research to sequence now, the age Stratigraphic framework is thicker, and resolution is lower, the closed difficulty in sequence boundaries space, slow problem.Demarcate through the well shake, inner through automatic tracking and identification to sequence boundaries in sequence under the constraint of sequence boundaries, the inner variation of the same sequence of portrayal that can be detailed according to the resolution of earthquake, improves the sequence vertical resolution.
The present invention realizes goal of the invention through following technical scheme:
A kind of high-precision three-dimensional sequence automatic recognition system comprises data acquisition facility, earthquake time frequency analysis device, well logging cycle analytical equipment, sequence automatic identification equipment and sequence output unit; Said data acquisition facility links to each other with earthquake time frequency analysis device, well logging cycle analytical equipment respectively, and the automatic follow-up mechanism of said sequence is connected with well logging cycle analytical equipment and sequence output unit with earthquake time frequency analysis device respectively.
Frequency processing device when the earthquake time frequency analysis device described in the present invention comprises structure seismic data pretreatment unit and earthquake.
Sequence automatic identification equipment described in the present invention comprises earthquake, well logging cycle coalignment and the automatic follow-up mechanism of sequence.
Beneficial effect:
The three-dimensional sequence slow-footed problem that this system has overcome has effectively solved the closed difficult problem in sequence space.This system follows the trail of with the earthquake lineups and is the basis; Through earthquake time frequency analysis and well logging cycle analysis; And carry out cycle coupling and be core, through well logging and the constraint of layer position, realize the automatic identification of the sequence in the three dimensions; This system realizes that in sequence division, sedimentary facies and sedimentary system identification the deposition evolution and the favourable reservoir distribution of reservoir has good effect.
Description of drawings
This equipments overall structure of Fig. 1 synoptic diagram
Fig. 2 specific embodiment 2 structural representations.
Fig. 3 specific embodiment 3 structural representations.
Fig. 4 specific embodiment 4 structural representations.
Embodiment
Embodiment 1
A kind of high-precision three-dimensional sequence automatic recognition system has comprised by data acquisition facility 1, earthquake time frequency analysis device 2, well logging cycle analytical equipment 3, sequence automatic identification equipment 4, sequence output unit 5 and has formed; Wherein data acquisition facility 1 mainly is to obtain the needed various data of high-precision three-dimensional sequence automatic recognition system; Earthquake cycle analytical equipment 2 mainly is that the geological data that acquires is carried out the cycle analysis; Utilize different algorithms to carry out the cycle analysis respectively,, finally optimize optimal algorithm according to the quality of seismic data; Utilize optimal algorithm, get access to the spatial time-frequency distribution characteristics of geological data; Well logging cycle analytical equipment 3 mainly is that the log data that acquires is carried out the cycle analysis, carries out the cycle analysis respectively according to different logging traces, and comprehensive assessment is carried out in the cycle that various curves obtain, and simulates final cycle curve at last; Sequence automatic identification equipment 4 mainly is that seismic data spatial time-frequency distribution characteristics curve, log data that input is come in are simulated final cycle curve at last and analyze, contrast; Analyze general character and otherness on its space-time; Carry out the filtering of time-space domain then, under same frequency, the data of two kinds of different scales are mated; Thereby set up the corresponding relation of earthquake and well logging, the response features of clear and definite different geologic bodies.According to setting up well shake corresponding relation, under Boundary Condition Control, follow the trail of the earthquake lineups automatically, under the constraint of well sequence, realize the automatic tracking of three-dimensional sequence; Reservoir output unit 5 mainly is to show the mode of the space distribution situation of the sequence of output with map.Data acquisition facility 1 among the present invention is connected with time frequency analysis device 2, well logging cycle analytical equipment 3; Time frequency analysis device 2, well logging cycle analytical equipment 3 are connected with sequence automatic identification equipment 4, and sequence output unit 5 is connected with sequence automatic identification equipment 4.
The present invention has obtained sequence automatically needed geological data of identification and log data through data acquisition facility 1, and the geological data that obtains through earthquake time frequency analysis device 2, is carried out time frequency analysis, the time-frequency spread in the space of clear and definite geological data; The log data that obtains is passed through well logging cycle analytical equipment 3, the cycle analysis of logging well, the cycle spread in the space of clear and definite log data; Will be through earthquake time frequency analysis device 2 and the well logging cycle analytical equipment 3 earthquake time frequency analysis data of obtaining respectively and the cycle data of logging well; Be input to sequence automatic identification equipment 4; Sequence automatic identification equipment 4 with the earthquake time frequency analysis data of input analyze with well logging cycle data, contrast, filtering, the data of two kinds of different scales are mated, thereby set up the corresponding relation of earthquake and well logging; According to setting up well shake corresponding relation; Under Boundary Condition Control, follow the trail of the earthquake lineups automatically, realize the automatic tracking of three-dimensional sequence; And give sequence output unit 5 with the data transfer of following the trail of, with the spatial distribution characteristic of sequence with the form output of map and show that (printing) come out.
Embodiment 3
The automatic follow-up mechanism 4 of sequence among the present invention comprises earthquake, well logging cycle coalignment 41 and the automatic follow-up mechanism 42 of sequence again; Wherein earthquake, well logging cycle coalignment 41 mainly be and cyclicity that geological data is set up through time frequency analysis and log data through the cyclicity that the cycle analysis obtains analyze, contrast, filtering, and the cyclicity of the two mated; The automatic follow-up mechanism 42 of sequence mainly is that the earthquake lineups are followed the trail of automatically, and earthquake, well logging cycle coupling should be used, and the earthquake lineups is given the implication of sequence.
Embodiment 4
Data acquisition facility 1 mainly is to obtain the needed various data of high-precision three-dimensional sequence automatic recognition system among the present invention, has mainly comprised geological data and log data; Data acquisition facility 1 passes to earthquake time frequency analysis device 2 with the geological data that gets access to, and the log data that gets access to is passed to well logging cycle analytical equipment 3; Earthquake time frequency analysis device 2 at first carries out the pre-service of seismic data through seismic data pretreatment unit 21 with the geological data that data acquisition facility 1 passes over; Mainly be that the attributional analysis that carries out seismic data, denoising, filtering and the continuity of geological data strengthen analysis etc.; Then to the data after coming out in advance during through earthquake frequency processing device 22 carry out time-frequency and handle, mainly be with pretreated geological data, according to the quality of seismic data; Utilize various algorithm to carry out time frequency analysis; Finally optimize optimal algorithm, utilize optimal algorithm, analyze the time-frequency distributions characteristic in its space; Well logging cycle analytical equipment 3 mainly is that the log data that acquires is carried out the cycle analysis, carries out the cycle analysis respectively according to different logging traces, and comprehensive assessment is carried out in the cycle that various curves obtain, and simulates final cycle curve at last; Data after earthquake time frequency analysis device 2 will be handled respectively with well logging cycle analytical equipment 3 are exported to sequence automatic identification equipment 4 respectively; Sequence automatic identification equipment 4; With earthquake time frequency analysis data that receive and well logging cycle data; At first pass to earthquake, well logging cycle coalignment 41; Well logging cycle coalignment 41 mainly be and cyclicity that geological data is set up through time frequency analysis and log data through the cyclicity that the cycle analysis obtains analyze, contrast, filtering, and the cyclicity of the two mated; Data after well logging cycle coalignment 41 is handled pass to the automatic follow-up mechanism 42 of sequence in internal system; The automatic follow-up mechanism 42 of sequence mainly is that the earthquake lineups are followed the trail of automatically; And earthquake, well logging cycle coupling should be used, the earthquake lineups are given the implication of sequence; Sequence automatic identification equipment 4 is given sequence output unit 5 with the data transfer of following the trail of, with the spatial distribution characteristic of sequence with the form output of map and show that (printing) come out.
Claims (3)
1. a high-precision three-dimensional sequence automatic recognition system is characterized in that: comprise data acquisition facility (1), earthquake time frequency analysis device (2), well logging cycle analytical equipment (3), sequence automatic identification equipment (4) and sequence output unit (5); Said data acquisition facility (1) links to each other with earthquake time frequency analysis device (2), well logging cycle analytical equipment (3) respectively, and the automatic follow-up mechanism of said sequence (4) is connected with well logging cycle analytical equipment (3) and sequence output unit (5) with earthquake time frequency analysis device (2) respectively.
2. high-precision three-dimensional sequence automatic recognition system as claimed in claim 1 is characterized in that: frequency processing device (22) when described earthquake time frequency analysis device (2) comprises structure seismic data pretreatment unit (21) and earthquake.
3. like right 1 or 2 described high-precision three-dimensional sequence automatic recognition systems, it is characterized in that: described sequence automatic identification equipment (4) comprises earthquake, well logging cycle coalignment (41) and the automatic follow-up mechanism of sequence (42).
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104570083A (en) * | 2013-10-29 | 2015-04-29 | 中国石油天然气集团公司 | Multi-dimensional seismic attribute-based automatic geologic body identification method |
| CN104932013A (en) * | 2015-05-20 | 2015-09-23 | 中国石油大学(华东) | Delta sub-phase identification method based on earthquake high-frequency cycle thickness |
| CN106324681A (en) * | 2016-08-24 | 2017-01-11 | 中国石油化工股份有限公司 | Time-frequency continuous wavelet transform well-to-seismic calibration method |
| CN106597543A (en) * | 2016-11-21 | 2017-04-26 | 中国石油天然气股份有限公司 | Stratigraphic sedimentary facies division method |
| CN106707337A (en) * | 2016-11-15 | 2017-05-24 | 西安石油大学 | Method for sedimentary system interpretation based on fractional-frequency seismic reflection energy stratigraphic slice |
| CN109613613A (en) * | 2019-01-04 | 2019-04-12 | 中国石油集团东方地球物理勘探有限责任公司 | Stratigraphic cycles automatic identification and conversion method, device and storage medium |
| CN112731529A (en) * | 2019-10-28 | 2021-04-30 | 中国石油化工股份有限公司 | Well-to-seismic combined stratum sequence framework modeling method |
| CN113109867A (en) * | 2020-01-13 | 2021-07-13 | 中国石油天然气股份有限公司 | Seismic attribute extraction method and device for wedge-shaped stratum braided water channel |
| CN114442192A (en) * | 2022-01-24 | 2022-05-06 | 西南石油大学 | Carbonate rock lithofacies paleogeography fine recovery method and system based on sequence stratigraphy |
| WO2024036819A1 (en) * | 2022-08-19 | 2024-02-22 | 中国石油天然气集团有限公司 | Chronostratigraphic-domain stratigraphic sedimentary cycle analysis method and apparatus |
| CN114442192B (en) * | 2022-01-24 | 2024-05-31 | 西南石油大学 | Carbonate rock facies paleogeographic fine restoration method and system based on layer sequence stratigraphy |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104570083B (en) * | 2013-10-29 | 2017-06-06 | 中国石油天然气集团公司 | Geologic body automatic identifying method based on multi-dimensional earthquake attribute |
| CN104570083A (en) * | 2013-10-29 | 2015-04-29 | 中国石油天然气集团公司 | Multi-dimensional seismic attribute-based automatic geologic body identification method |
| CN104932013A (en) * | 2015-05-20 | 2015-09-23 | 中国石油大学(华东) | Delta sub-phase identification method based on earthquake high-frequency cycle thickness |
| CN106324681A (en) * | 2016-08-24 | 2017-01-11 | 中国石油化工股份有限公司 | Time-frequency continuous wavelet transform well-to-seismic calibration method |
| CN106707337A (en) * | 2016-11-15 | 2017-05-24 | 西安石油大学 | Method for sedimentary system interpretation based on fractional-frequency seismic reflection energy stratigraphic slice |
| CN106597543B (en) * | 2016-11-21 | 2018-11-16 | 中国石油天然气股份有限公司 | A kind of Sedimentary Facies division methods |
| CN106597543A (en) * | 2016-11-21 | 2017-04-26 | 中国石油天然气股份有限公司 | Stratigraphic sedimentary facies division method |
| CN109613613A (en) * | 2019-01-04 | 2019-04-12 | 中国石油集团东方地球物理勘探有限责任公司 | Stratigraphic cycles automatic identification and conversion method, device and storage medium |
| CN109613613B (en) * | 2019-01-04 | 2020-05-15 | 中国石油集团东方地球物理勘探有限责任公司 | Stratum convolution automatic identification and conversion method, device and storage medium |
| CN112731529A (en) * | 2019-10-28 | 2021-04-30 | 中国石油化工股份有限公司 | Well-to-seismic combined stratum sequence framework modeling method |
| CN113109867A (en) * | 2020-01-13 | 2021-07-13 | 中国石油天然气股份有限公司 | Seismic attribute extraction method and device for wedge-shaped stratum braided water channel |
| CN113109867B (en) * | 2020-01-13 | 2023-06-30 | 中国石油天然气股份有限公司 | Seismic attribute extraction method and device for wedge-shaped stratum plait-shaped water channel |
| CN114442192A (en) * | 2022-01-24 | 2022-05-06 | 西南石油大学 | Carbonate rock lithofacies paleogeography fine recovery method and system based on sequence stratigraphy |
| CN114442192B (en) * | 2022-01-24 | 2024-05-31 | 西南石油大学 | Carbonate rock facies paleogeographic fine restoration method and system based on layer sequence stratigraphy |
| WO2024036819A1 (en) * | 2022-08-19 | 2024-02-22 | 中国石油天然气集团有限公司 | Chronostratigraphic-domain stratigraphic sedimentary cycle analysis method and apparatus |
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Application publication date: 20120627 |