CN102900432A - Method for reservoir assessment by calculating logging porosity while drilling by utilizing data during micro drilling - Google Patents
Method for reservoir assessment by calculating logging porosity while drilling by utilizing data during micro drilling Download PDFInfo
- Publication number
- CN102900432A CN102900432A CN2012104272913A CN201210427291A CN102900432A CN 102900432 A CN102900432 A CN 102900432A CN 2012104272913 A CN2012104272913 A CN 2012104272913A CN 201210427291 A CN201210427291 A CN 201210427291A CN 102900432 A CN102900432 A CN 102900432A
- Authority
- CN
- China
- Prior art keywords
- data
- porosity
- little
- drilling
- reservoir
- 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
Images
Landscapes
- Geophysics And Detection Of Objects (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention discloses a method for reservoir assessment by calculating logging porosity while drilling by utilizing data during micro drilling. The method comprises the following steps of: (a) collecting data during the micro drilling of drilled wells; (b) establishing a correlation model of the data during the micro drilling and formation porosity data by combining the data during the micro drilling of the drilled wells and the corresponding formation porosity data; (c) according to the established correlation model of the data during the micro drilling and the formation porosity data, calculating the logging porosity while drilling by utilizing data during the micro drilling of a well drilled at present; and (d) setting a formation porosity of a conventional dense lithological section to be a default which is lower than the lower limit standard of the formation porosity by combining with cutting logging data to finish the reservoir assessment. According to the method, the calculation of the logging porosity during drilling is realized, the real-time evaluation of reservoir during drilling is strengthened, steps are simple and easy to apply, and the logging porosity can be quantitatively calculated for carrying out the reservoir assessment.
Description
Technical field
The present invention relates to the petroleum natural gas exploration technical field, relate in particular to a kind of when utilizing little bore data with boring the method that the well logging degree of porosity carries out evaluating reservoir of calculating.
Background technology
Evaluating reservoir is an important step in the oil-gas exploration and development, and formation porosity is the major parameter of understanding reservoir.In the acquiring method to formation porosity, survey, well logging have adopted various ways, but have all had the limitation of self in the past:
1, utilize routine, Image Logging Data to explain that degree of porosity is the most frequently used method, but it have hysteresis quality, belongs to the brill post-evaluation.
2, carrying out porosity determination by rock core is method the most accurately, but core hole is generally less, and only the emphasis interval of part emphasis well is just cored.
3, the horizontal well well logging during can realize with the evaluating reservoir that bores, but buys, rents external connector for logging while drilling somewhat expensive, and manyly in the domestic well logging during parameter does not possess the degree of porosity parameter.
4, the nuclear magnetic resonance logging of the field can carry out lacunarity analysis to rock core, chip sample, but analysis time is longer, and the granular size of chip sample is had strict demand.Extensively adopt at present the drilling technologies such as PDC drill bit, gas drilling in the drilling technology, cause the chip sample particle tiny, can not satisfy nuclear magnetic logging and analyze requirement.
5, the compound logging data can reflect formation physical property to a certain extent, but mainly be rule of thumb all the time, the variation tendency of data is come reservoir is differentiated qualitatively when utilizing rice to bore, and does not form a method of utilizing logging parameters quantitatively to calculate the well logging degree of porosity.
Summary of the invention
For solving existing technical problem in the above-mentioned prior art, the present invention proposes a kind of when utilizing little bore data with boring the method that the well logging degree of porosity carries out evaluating reservoir of calculating, the present invention has realized with the well logging porosity calculation that bores, strengthened to reservoir with boring Real-Time Evaluation, and step is simple, can quantitatively calculate the well logging degree of porosity and carry out evaluating reservoir.
The present invention is by adopting following technical proposals to realize:
A kind of when utilizing little bore data calculate the method that the well logging degree of porosity carries out evaluating reservoir with boring, it is characterized in that comprising the steps:
A, data when collecting little brill of drilling well;
B, data and corresponding formation pore degrees of data during in conjunction with little bore of described drilling well, the correlation model of data and formation pore degrees of data when setting up little brill;
C, the correlation model of data and formation pore degrees of data during according to little the boring of setting up, data are with brill calculating well logging degree of porosity when utilizing little brills of positive drilling well;
D, in conjunction with the sieve residue log data, the formation porosity of the fine and close lithology section of routine is set as a default value that is lower than the reservoir porosity lower limit standard, finish evaluating reservoir.
Described corresponding formation pore degrees of data is: utilizing various means formation pore degrees of data that obtain, relatively accurate, can be well log interpretation degree of porosity data or core analysis porosity data etc.
Data with the correlation model of formation pore degrees of data are during described little brills of setting up the zone: data and corresponding degree of porosity data when utilizing in the same block little brills of the same series of strata of drilling well, and the correlation model formula 1 of data and formation pore degrees of data during the regional little brill of foundation:
In the formula 1:
In the described d step well logging degree of porosity of the fine and close lithology section of routine being set as a default value that is lower than the reservoir porosity lower limit is: for some conventional fine and close lithology sections, according to the landwaste data, well logging degree of porosity with these fine and close lithology sections is set as a default value that is lower than the reservoir porosity lower limit standard artificially, and default value is 0.1%～1.0%.
In the described a step, be data when collecting in the same block little brill of the same series of strata of drilling well.
In the described b step, be in conjunction with data and corresponding formation pore degrees of data during little bore of the same series of strata of drilling well in the described same block, the correlation model of data and formation pore degrees of data when setting up little brill.
Compared with prior art, the beneficial effect that reaches of the present invention is as follows:
Data were carried out reservoir and are differentiated when 1, the present invention utilized little brill in the compound logging data, and data are calculated the well logging degree of porosity during first according to little brills, thereby realization is to the quantitative interpretation of reservoir.
Data calculated the well logging degree of porosity with brill when 2, the present invention utilized little brill in the compound logging data, had solved with boring and had estimated untimely problem, make simultaneously with bore real-time evaluating reservoir by qualitative to quantitative transformation, realize that more effective reservoir is with boring Real-Time Evaluation.Concerning prospect pit, estimate and can in time carry out drillstem test to Favorable Reservoir with boring, reduced the infringement of mud soak to reservoir, for horizontal well, can in time analyze reservoir, estimate reservoir, the geosteering measure is provided, improve the brill encountering rate of reservoir.
3, need not buy special-purpose measuring apparatus, the logging data of directly using the well logging Real-time Collection is processed, is explained, has greatly saved with the cost that bores evaluating reservoir.
4, with at present compare by comprehensive logging parameters qualitative judgement reservoir, this invention has realized the quantification of reservoir properties, and formation porosity has been carried out with boring the quantitative interpretation evaluation.
5, compare with existing well logging RESERVOIR INTERPRETATION, effect with " in real time " is bored 1m and is explained 1m, or even 0.1m, in time catch up with drill bit, remedied that conventional evaluating reservoir need to be waited for finishing drilling well-log information and laboratory core-analysis data and deficiency that " hysteresis " estimated.
Data and corresponding formation pore degrees of data when 6, the present invention utilizes little brill first, the correlation model of data and formation pore degrees of data when having set up little boring, data are with boring the purpose of calculating the well logging degree of porosity during final little boring of realizing utilizing positive drilling well, for bore evaluating reservoir particularly the horizontal well geosteering more perfect quantitative basis is provided.
Description of drawings
The present invention is described in further detail below in conjunction with specification drawings and specific embodiments, wherein:
Accompanying drawing 1 is method flow diagram of the present invention;
The correlation model schematic diagram of accompanying drawing 2 data and formation pore degrees of data during for little the boring in the present invention zone;
The well logging porosity curve figure that accompanying drawing 3 calculates with brill for the present invention's well.
The specific embodiment
The invention discloses a kind of when utilizing little bore data calculate the method that the well logging degree of porosity carries out evaluating reservoir with boring, comprise the steps:
A, data when collecting little brill of drilling well;
B, data and corresponding formation pore degrees of data during in conjunction with little bore of described drilling well, the correlation model of data and formation pore degrees of data when setting up little brill;
C, the correlation model of data and formation pore degrees of data during according to little the boring of setting up, data are with brill calculating well logging degree of porosity when utilizing little brills of positive drilling well;
D, in conjunction with the sieve residue log data, the formation porosity of the fine and close lithology section of routine is set as a default value that is lower than the reservoir porosity lower limit standard, finish evaluating reservoir.
With reference to Figure of description 1,2 and 3, preferred forms of the present invention is as follows:
A kind of when utilizing little bore data calculate the method that the well logging degree of porosity carries out evaluating reservoir with boring, step comprises:
1, collect data during little brills of the same series of strata of drilling well of same block, in conjunction with corresponding formation pore degrees of data, the correlation model of data and formation pore degrees of data when setting up little brill in zone.
Described corresponding formation pore degrees of data is: utilizing various means formation pore degrees of data that obtain, relatively accurate, can be well log interpretation degree of porosity data, core analysis porosity data etc.
Data with the correlation model of formation pore degrees of data are during described little brills of setting up the zone: data and corresponding degree of porosity data when utilizing in the same block little brills of the same series of strata of drilling well, the correlation model (formula 1) of data and formation pore degrees of data during the regional little brill of foundation.
In the formula 1:
The correlation model of data and formation pore degrees of data during 2, according to little the boring of certain regional a certain series of strata of setting up, data are carried out with brill calculating the well logging degree of porosity when utilizing little brills of positive drilling well in the zone.
3, in conjunction with the sieve residue log data, the well logging degree of porosity of the fine and close lithology section of routine is set as a default value (such as 0.1%～1.0%) that is lower than the reservoir porosity lower limit.
Described well logging degree of porosity with the fine and close lithology section of routine is set as a default value that is lower than the reservoir porosity lower limit: for some conventional fine and close lithology sections (such as mud stone, shale, gypsum etc.), need to be according to the landwaste data, the well logging degree of porosity with these fine and close lithology sections is set as a default value that is lower than the reservoir porosity lower limit standard artificially.
Embodiment 3
Below be concrete application example of the present invention:
Data belong to the innovation of log data application means of interpretation with boring the method for calculating the well logging degree of porosity when utilizing little boring.When widely applying rice to bore at present, to carry out on the basis of qualitative evaluating reservoir, the innovation and application of (0.1m) when having realized little boring.The correlation model of data and formation pore degrees of data when setting up little bore, data are to the real-time calculating of well logging degree of porosity when having realized utilizing little boring, reflect more quickly the physical property characteristic that is just boring the stratum, remedied for a long time with the deficiency of boring the formation physical property quantitative assessment, for the Real-Time Evaluation of reservoir provides more reliable foundation.
This method is creatively to propose with real-time logging data with boring calculating well logging degree of porosity on the high basis of present connector for logging while drilling price, for the reservoir Real-Time Evaluation particularly the horizontal well geosteering more perfect foundation is provided, reach and improve the purpose that reservoir bores encountering rate.
Followingly be applied to concrete application process in the individual well for the present invention:
Data when 1, collecting in the same block little brill of the same series of strata of drilling well.
Data and corresponding formation pore degrees of data during 2, in conjunction with little bore of each well in the same block, the correlation model of data and formation pore degrees of data when setting up the little brill in zone.
The correlation model of data and formation pore degrees of data during 3, according to regional little the boring of setting up, data are with brill calculating well logging degree of porosity when utilizing little brill of positive drilling well.
4, in conjunction with the sieve residue log data, the formation porosity of the fine and close lithology section of routine (such as mud stone, shale, gypsum etc.) is set as a default value (such as 0.1%～1.0%) that is lower than the reservoir porosity lower limit standard.
Claims (6)
1. data when utilizing little bore are calculated the method that the well logging degree of porosity carries out evaluating reservoir with boring, and it is characterized in that comprising the steps:
A, data when collecting little brill of drilling well;
B, data and corresponding formation pore degrees of data during in conjunction with little bore of described drilling well, the correlation model of data and formation pore degrees of data when setting up little brill;
C, the correlation model of data and formation pore degrees of data during according to little the boring of setting up, data are with brill calculating well logging degree of porosity when utilizing little brills of positive drilling well;
D, in conjunction with the sieve residue log data, the formation porosity of the fine and close lithology section of routine is set as a default value that is lower than the reservoir porosity lower limit standard, finish evaluating reservoir.
According to claim 1 a kind of when utilizing little bore data calculate the method that the well logging degree of porosity carries out evaluating reservoir with boring, it is characterized in that: described corresponding formation pore degrees of data is well log interpretation degree of porosity data or core analysis porosity data.
According to claim 1 and 2 a kind of when utilizing little bore data with boring the method that the well logging degree of porosity carries out evaluating reservoir of calculating, it is characterized in that: data with the correlation model of formation pore degrees of data are during described little brills of setting up the zone: data and corresponding degree of porosity data when utilizing in the same block little brills of the same series of strata of drilling well, and the correlation model formula 1 of data and formation pore degrees of data during the regional little brill of foundation:
In the formula 1:
According to claim 3 a kind of when utilizing little bore data with boring the method that the well logging degree of porosity carries out evaluating reservoir of calculating, it is characterized in that: according to claim 1 a kind of when utilizing little bore data with boring the method that the well logging degree of porosity carries out evaluating reservoir of calculating, it is characterized in that: in the described d step well logging degree of porosity of the fine and close lithology section of routine being set as a default value that is lower than the reservoir porosity lower limit is: for some conventional fine and close lithology sections, according to the landwaste data, well logging degree of porosity with these fine and close lithology sections is set as a default value that is lower than the reservoir porosity lower limit standard artificially, and default value is 0.1%～1.0%.
According to claim 1 a kind of when utilizing little bore data calculate the method that the well logging degree of porosity carries out evaluating reservoir with boring, it is characterized in that: in the described a step, be data when collecting in the same block little brill of the same series of strata of drilling well.
According to claim 1 a kind of when utilizing little bore data with boring the method that the well logging degree of porosity carries out evaluating reservoir of calculating, it is characterized in that: in the described b step, in conjunction with data and corresponding formation pore degrees of data during little bore of the same series of strata of drilling well in the described same block, the correlation model of data and formation pore degrees of data when setting up little brill.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210427291.3A CN102900432B (en) | 2012-10-31 | 2012-10-31 | When utilizing micro-boring, data calculate with boring the method that well logging degree of porosity carries out evaluating reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210427291.3A CN102900432B (en) | 2012-10-31 | 2012-10-31 | When utilizing micro-boring, data calculate with boring the method that well logging degree of porosity carries out evaluating reservoir |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102900432A true CN102900432A (en) | 2013-01-30 |
| CN102900432B CN102900432B (en) | 2016-01-20 |
Family
ID=47572889
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210427291.3A Active CN102900432B (en) | 2012-10-31 | 2012-10-31 | When utilizing micro-boring, data calculate with boring the method that well logging degree of porosity carries out evaluating reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102900432B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318109A (en) * | 2014-10-29 | 2015-01-28 | 中国石油集团川庆钻探工程有限公司 | Shale gas reservoir identification method based on support vector machine |
| CN104463686A (en) * | 2014-10-29 | 2015-03-25 | 中国石油集团川庆钻探工程有限公司 | Method for identifying shale gas reservoir while drilling by utilizing discriminant analysis method |
| CN104612664A (en) * | 2014-12-09 | 2015-05-13 | 中国石油集团川庆钻探工程有限公司 | Bit pressure correction processing method at drilling time |
| CN112343574A (en) * | 2020-09-28 | 2021-02-09 | 中国石油化工集团有限公司 | Porosity logging calculation method for corrosion type reservoir |
| CN117386359A (en) * | 2023-12-13 | 2024-01-12 | 中国石油集团川庆钻探工程有限公司 | Fracture-cavity type carbonate reservoir porosity while-drilling quantitative evaluation method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4981036A (en) * | 1988-07-20 | 1991-01-01 | Anadrill, Inc. | Method of determining the porosity of an underground formation being drilled |
| US6885942B2 (en) * | 2003-01-09 | 2005-04-26 | Schlumberger Technology Corporation | Method to detect and visualize changes in formation parameters and borehole condition |
| US20070124079A1 (en) * | 2005-11-29 | 2007-05-31 | Ali Mese | Method of reservoir characterization and delineation based on observations of displacements at the earth's surface |
| CN101936159A (en) * | 2010-08-30 | 2011-01-05 | 中国石油集团钻井工程技术研究院 | Method for recognizing lithological characters while drilling |
| CN102383788A (en) * | 2011-09-16 | 2012-03-21 | 中国石油化工股份有限公司 | Underground reservoir porosity measurement method during drilling |
-
2012
- 2012-10-31 CN CN201210427291.3A patent/CN102900432B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4981036A (en) * | 1988-07-20 | 1991-01-01 | Anadrill, Inc. | Method of determining the porosity of an underground formation being drilled |
| US6885942B2 (en) * | 2003-01-09 | 2005-04-26 | Schlumberger Technology Corporation | Method to detect and visualize changes in formation parameters and borehole condition |
| US20070124079A1 (en) * | 2005-11-29 | 2007-05-31 | Ali Mese | Method of reservoir characterization and delineation based on observations of displacements at the earth's surface |
| CN101936159A (en) * | 2010-08-30 | 2011-01-05 | 中国石油集团钻井工程技术研究院 | Method for recognizing lithological characters while drilling |
| CN102383788A (en) * | 2011-09-16 | 2012-03-21 | 中国石油化工股份有限公司 | Underground reservoir porosity measurement method during drilling |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318109A (en) * | 2014-10-29 | 2015-01-28 | 中国石油集团川庆钻探工程有限公司 | Shale gas reservoir identification method based on support vector machine |
| CN104463686A (en) * | 2014-10-29 | 2015-03-25 | 中国石油集团川庆钻探工程有限公司 | Method for identifying shale gas reservoir while drilling by utilizing discriminant analysis method |
| CN104463686B (en) * | 2014-10-29 | 2017-12-26 | 中国石油集团川庆钻探工程有限公司 | The method for identifying shale gas reservoir with boring using techniques of discriminant analysis |
| CN104318109B (en) * | 2014-10-29 | 2018-05-01 | 中国石油集团川庆钻探工程有限公司 | Shale gas reservoir stratum identification method based on support vector machines |
| CN104612664A (en) * | 2014-12-09 | 2015-05-13 | 中国石油集团川庆钻探工程有限公司 | Bit pressure correction processing method at drilling time |
| CN112343574A (en) * | 2020-09-28 | 2021-02-09 | 中国石油化工集团有限公司 | Porosity logging calculation method for corrosion type reservoir |
| CN112343574B (en) * | 2020-09-28 | 2024-04-16 | 中国石油化工集团有限公司 | Method for calculating porosity logging of corrosion type reservoir |
| CN117386359A (en) * | 2023-12-13 | 2024-01-12 | 中国石油集团川庆钻探工程有限公司 | Fracture-cavity type carbonate reservoir porosity while-drilling quantitative evaluation method |
| CN117386359B (en) * | 2023-12-13 | 2024-03-08 | 中国石油集团川庆钻探工程有限公司 | Fracture-cavity type carbonate reservoir porosity while-drilling quantitative evaluation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102900432B (en) | 2016-01-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104695950B (en) | Volcanic Reservoir PRODUCTION FORECASTING METHODS | |
| CN101354362B (en) | Method for analyzing x-ray fluorescence shale content in petroleum well drilling | |
| US20130262069A1 (en) | Targeted site selection within shale gas basins | |
| CN104564041A (en) | Low-permeability clastic rock reservoir effectiveness evaluation method based on development permeability lower limit | |
| CN104806232B (en) | A kind of method for determining porosity lower limit of fracture | |
| MY146703A (en) | Method of drilling and producing hydrocarbons from subsurface formations | |
| CN106223941B (en) | Method is determined based on the shale gas reservoir organic porosity of well-log information | |
| CN102900432A (en) | Method for reservoir assessment by calculating logging porosity while drilling by utilizing data during micro drilling | |
| CN107795320B (en) | Calculation method for horizontal well carbonate reservoir parameters | |
| CN101634620A (en) | Method for correcting saturation parameters of thick-oil unconsolidated core | |
| CN104899411A (en) | Method and system for establishing reservoir capacity prediction model | |
| CN104948176A (en) | Method for identifying carbonate reservoir fractures based on permeability increasing rate | |
| CN105931125A (en) | Tight oil segmented multi-cluster volume fractured horizontal well production prediction method | |
| CN107505344A (en) | The lithologic interpretation method of " least square product " method of utilization | |
| CN102383788B (en) | Underground reservoir porosity measurement method during drilling | |
| CN102182444B (en) | Adaptive evaluation method for under-balanced drilling | |
| CN103670396A (en) | Method for measuring mineralization degree of stratum water | |
| CN104675391B (en) | The method for calculating stratum oil saturation | |
| CN109538199A (en) | A kind of coal measure strata air content evaluation method, device and electronic equipment | |
| CN104463362A (en) | Reservoir fluid yield prediction method and device | |
| CN106019378B (en) | A kind of dynamic reconfiguration method of time shift log | |
| CN110924942B (en) | Method for evaluating permeability of rock stratum hole while drilling in logging operation | |
| CN111042805B (en) | Method for calculating formation water mineralization degree | |
| Carpenter | Production logging, openhole-log interpretation help discover new oil reserves | |
| WO2021046419A1 (en) | Systems and methods for saturation logging of hydrocarbon wells |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20200921 Address after: 100007 Beijing, Dongzhimen, North Street, No. 9, No. Patentee after: CHINA NATIONAL PETROLEUM Corp. Patentee after: CNPC Chuanqing Drilling Engineering Co.,Ltd. Address before: The 1 section of No. 3 company Chuanqing Drilling Technology Information Office Chenghua District Green Road 610051 Chengdu City, Sichuan Province Patentee before: CNPC Chuanqing Drilling Engineering Co.,Ltd. |