CN108691537A - A kind of reservoir geology reserve forecasting method - Google Patents

A kind of reservoir geology reserve forecasting method Download PDF

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Publication number
CN108691537A
CN108691537A CN201810397912.5A CN201810397912A CN108691537A CN 108691537 A CN108691537 A CN 108691537A CN 201810397912 A CN201810397912 A CN 201810397912A CN 108691537 A CN108691537 A CN 108691537A
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oil
reservoir
well
reserves
effective thickness
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Inventor
周育文
彭彬
董洪闯
赵同泽
杨佩峰
于俊文
刘子藏
王冠群
张敏
钟巍
刘爱平
马玉荣
时筱淞
彭雪梅
马红
张延国
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Research Institute Of Petroleum Exploration & Development Dagang Oil Field Of Cnpc
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Research Institute Of Petroleum Exploration & Development Dagang Oil Field Of Cnpc
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Priority to CN201810397912.5A priority Critical patent/CN108691537A/en
Publication of CN108691537A publication Critical patent/CN108691537A/en
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells

Abstract

The present invention relates to a kind of reservoir geology reserve forecasting methods, are related to the technical field of oil exploration.The reservoir geology reserve forecasting method of the present invention, includes the following steps:(1) computing unit is divided:Plane distribution based on oil reservoir and characteristics of reservoirs divide reserves computing unit on longitudinal direction from bottom to top;(2) data is enrolled:Adjoining area same layer position drilling well, formation testing and well logging are relied on, data is enrolled, specifies Oil Reservoir Types, determine reservoir division standard, individual well effective thickness, crude oil density in stock tank, effecive porosity and oil saturation;(3) reserves calculate.The reservoir geology reserve forecasting method of the present invention can solve the contradiction of oil water relation after development well is implemented, pass through the scrutiny to every reserves parameter, the error that the calculating of reservoir geology reserves can be reduced to the greatest extent has better directive function to the adjustment of oil reservoir development scheme.

Description

A kind of reservoir geology reserve forecasting method
Technical field
The present invention relates to the technical fields of oil exploration, it is more particularly related to which a kind of reservoir geology reserves are pre- Survey method.
Background technology
In Oil Field Exploration And Development initial stage or petroleum resources project are purchased in evaluation procedure, in order to oil field oil and naturally Gas oil in place is predicted, provides a kind of non-unified oil-water interfaces reservoir reserve quick calculation method in the prior art, should Method calculates the quick reserves that longitudinal multiple oil reservoirs are regarded as an oil reservoir to carry out, although this method is capable of providing quick meter It calculates and predicts, but forecasting accuracy is inadequate, it is difficult to the guidance foundation as actual production.Therefore, oil reservoir is according to development plan It after carrying out deployment implementation, generally requires and oil reservoir is re-recognized and is evaluated, to obtain more rational oil deposit parameter, based on above-mentioned The oil deposit parameter of acquisition adjusts required reserve forecasting result to complete development plan.In the prior art, oil reservoir prediction geology Reserves are based primarily upon the explanation of individual well grease, are then based on the individual well grease and explain that determining oil reservoir carries out even well reservoir geology point Analysis obtains oil-water interfaces;Reservoir Distribution range further according to the core intersection and under the oil-water interface control obtains Take reservoir reserve.The method of above-mentioned oil reservoir prediction oil in place is mainly for oil reservoir development early period, and data admission is few, oil water relation Relatively simple oil reservoir is relatively applicable in.However, development well hides understanding after implementing with crude oil has certain or larger difference, oil reservoir is known Not Ping Jia difficulty it is big, oil water relation is complicated, if the case where not considering the probing of later development well, falls oil deposit parameter again It is real, reserves are predicted again, development plan adjustment can be made unreasonable.Specifically, for example above by development even well oil reservoir When geological analysis obtains oil-water interfaces, due to being in initial stage of development, drilling well is less, and the oil domain of prediction may be not accurate enough, The reservoir reserve error for further calculating acquisition is larger.
Invention content
In order to solve above-mentioned technical problem in the prior art, the purpose of the present invention is to provide a kind of reservoir geology reserves Prediction technique.
In order to solve to invent the technical problem and realize goal of the invention, present invention employs following technical schemes:
Reservoir geology reserve forecasting method of the present invention, it is characterised in that include the following steps:
(1) computing unit is divided:Plane distribution based on oil reservoir and characteristics of reservoirs are longitudinally dividing finimeter from bottom to top Calculate unit;
(2) data is enrolled:For the computing unit that step (1) is divided, rely on adjoining area same layer position drilling well, formation testing and Data is enrolled in well logging;
(3) Oil Reservoir Types are determined:Using the data of step (2), using horizon calibration, full 3 D stereo Fine structural interpretation and Well shake combines, and determines trap structure;
(4) oil area is drawn a circle to approve:According to the Oil Reservoir Types that step (3) determines, oil-containing is drawn a circle to approve according to trap structure isobath Area;
(5) calculating parameter is determined:In conjunction with drilling well, formation testing and the well logging gained data in step (2), reservoir division mark is determined Standard, individual well effective thickness, oil density, effecive porosity and oil saturation;
(6) oil volume factor:B0i=-5.855 × ρ0 2+9.4193×ρo- 2.6101,
In formula:Boi:Oil volume factor, ρ0:Oil density, t/m3;
(7) reserves calculate:According to formulaWith Nz=N ρ0It calculates;
In formula:N- oil in-places, 104m3;Nz- oil in-places, 104t;AoOil area, km2;H- is effectively thick Degree, m;Effecive porosity, f;SoiInitial oil saturation, f;B0iOil volume factor, zero dimension;ρ0Oil density, t/m3
Wherein, the effective thickness described in step (5), by each computing unit according to individual well effective thickness and oil-layer distribution It sketches effective thickness isopleth, each unit determines effective thickness using the effective thickness isopleth weighing method.
Wherein, the effecive porosity described in step (5), first according to core analysis porosity and log parameter (sound The wave time difference, compensation density, compensated neutron) correlation analysis is established, the log parameter for selecting correlation best establishes active porosity Interpretation model is spent, oil reservoir effecive porosity is sought using the model calculating established, and individual well effecive porosity uses the thickness weighing method It seeks, identical layer position porosity is determined using well point arithmetic average in plane.This method, which can minimize each computing unit, to be had Imitate the choosing value error of porosity.
Wherein, the oil saturation described in step (5), using well logging calculations incorporated capillary pressure curve method synthesis choosing It takes.Capillary pressure curve method is exactly that the relationship of oil saturation and oil columns is established according to local area capillary pressure data, according to Oil column thickness seeks oil saturation;It is according to uses such as resistivity reservoir, effecive porosity, litho-electric parameters that well logging, which calculates, Empirical equation calculates oil reservoir oil saturation, and individual well oil saturation determines that identical layer position contains in plane using volume balance method Oily saturation degree is determined using more well arithmetic means.
Reservoir geology reserve forecasting method of the present invention has the advantages that:
The reservoir geology reserve forecasting method of the present invention is by carefully drawing reserves computing unit, after can solving development well implementation The contradiction of oil water relation can reduce the mistake of reservoir geology reserves calculating to the greatest extent by the scrutiny to every reserves parameter Difference, reserves result of calculation more meet oil reservoir practical situation, have better directive function to the adjustment of oil reservoir development scheme.
Description of the drawings
Fig. 1 is core analysis porosity and permeability figure in embodiment 1.
Fig. 2 is volume factor and crude oil density in stock tank relational graph in embodiment 1.
Fig. 3 is actual measurement volume factor and calculating volume factor relational graph in embodiment 1.
Specific implementation mode
A kind of reservoir geology reserve forecasting method of the present invention is done further below with reference to specific embodiment It illustrates, to make more complete and clear explanation to technical scheme of the present invention.
It is specific embodiments of the present invention below, the present invention will be in conjunction with the specific areas X practical geologic information in the block to this hair Bright oil in place computational methods are further elaborated.It needs to define herein, although embodiment 1 is only with the earthquake in the block of the areas X Geologic information is analyzed, but the oil in place computational methods of the present invention can equally be well applied to the reserves calculating in other areas, and And there is prediction effect substantially the same manner as Example 1.
Embodiment 1
For X blocks before development well implementation, comprehensive analysis is structural oil pool, and after development well implementation, structural high part has 1 mouthful Development well does not bore chance oil reservoir, and comprehensive analysis is lithology-structural oil pool.First according to the areas X oil reservoir genesis analysis and characteristics of reservoirs, It is divided into N1gII2,N1GIII totally 2 reserves computing units.In conjunction with three dimensional seismic data, calibration layer position the deep piece such as utilizes, along layer The technologies such as coherence slice implement local area construction, have worked out N1g II2,N1GIII oil reservoirs top surface structural map.N1gII2Oil Reservoir Types are Lithology-structural oil pool, 7 mouthfuls of wells control in oil area, 3 mouthfuls of well formation testings obtain commercial oils, do not disclose oil-water interfaces, and construction is high Position A wells do not bore chance oil reservoir, and with half stroke of calculating line of oil reservoir JingBJing and dried layer well A well well spacings, lower location of the structure presses mineral rights boundary With C well effective thickness accumulated values 10.4m extrapolations along -1491m construction isobath delineations, other directions are fault barrier, and delineation contains Pasta accumulates 1.07km2;N1GIII is lithology-structural oil pool, in oil area 4 mouthfuls of wells control, 2 mouthfuls of well formation testings obtain industry oil Stream, does not disclose oil-water interfaces, and structural high part A wells do not bore chance oil reservoir, in terms of half stroke by oil reservoir JingBJing with dried layer well A well well spacings Line is calculated, lower location of the structure is pressed by D well oil bottom along -1543m construction isobath delineations, and other directions are fault barrier, draw a circle to approve oil-containing Area 0.42km2
The delineation of 1 X block oil areas of table is according to table
As can be seen that by the Ω .m of resistivity >=8, porosity >=20% is full in resistivity and the porosity relational graph of Fig. 1 It is set to effective thickness lower limit standard with degree >=45%.
Each computing unit is sketched effective thickness isopleth according to individual well effective thickness and oil-layer distribution feature, and each unit uses The effective thickness isopleth weighing method determines that effective thickness, X block reserves computing unit effective thickness are distributed in 7.8m-10.4m, in detail It is shown in Table 2.2 X block effective thickness choosings value of table is according to table
The overburden porosity data obtained according to the area establishes rock core overburden porosity correction public affairs with core analysis porosity Formula:Φ f=0.976 × Φ rock cores -0.507.According to well-log information and core analyzing data, return in Normalizationof Logging Data and rock core On the basis of position, corresponding sound wave, density, compensated neutron log value are read, three porosity is established respectively and covers pressure hole with rock core The relationship of degree, wherein density is best (Fig. 2) with rock core overburden porosity correlation.Density calculates porosity and covers pressure hole with rock core Porosity carries out error analysis, and relative error meets the regulation of reserves specification between -7.12~5.84%.Porosity model selects The density model formula for selecting foundation calculates.Formula is as follows:Φ f=-65.542 × ρb+ 171.65 (r=0.923, n=79).
Individual well effecive porosity is weighed using thickness, and identical layer position porosity is averagely determined using well point in plane.
X blocks N1gII27 mouthfuls of 18 layers of wells are calculated, single layer effecive porosity distribution is in 30.0-33.2%, individual well thickness Tradeoff effecive porosity is distributed between 30.6-33.2%, unit effecive porosity arithmetic mean of instantaneous value 31.6%;N1GIII is calculated 4 mouthfuls of 10 layers of wells, single layer effecive porosity distribution are distributed in 21.2-29.1%, individual well thickness tradeoff effecive porosity Between 23.5-27.0%, unit effecive porosity arithmetic mean of instantaneous value 25.0%, each unit value is shown in Table 3.
3 X block effecive porosity choosings value of table is according to table
Oil saturation calculates comprehensive choose using capillary pressure curve method combination Archie formula.
First oil saturation and oil columns relationship are established according to parameters such as the pressure mercury data combination fluid properties of acquirement Scheme (Fig. 3), X blocks N1gII2Oil columns 7m, corresponding oil saturation 65%;N1GIII oil columns 8m, corresponding oil-containing saturation Degree 66%.
Single layer oil saturation is calculated using Archie formula, and individual well oil saturation selects volume balance method to determine, single First oil saturation is calculated using more well arithmetic means.
X blocks N1gII27 mouthfuls of 18 layers of wells are calculated, single layer oil saturation is distributed between 50.8-71.6%, individual well oil-containing Saturation distribution range is between 60.8-69.2%, unit oil saturation arithmetic mean of instantaneous value 64.6%;N1GIII calculates 4 mouthfuls 10 layers of well, single layer oil saturation is distributed between 46.1-81.9%, and individual well oil saturation distribution is in 52.5- Between 71.3%, unit oil saturation arithmetic mean of instantaneous value 65.3%;Each unit oil saturation choosing value is shown in Table 4.
4 X block oil saturation choosings value of table is according to table
Crude oil density in stock tank formation testing measured value, initial gas-oil ratio use steady production gas-oil ratio, volume factor to select Adjacent block same layer position high pressure property measured value.Specifically choosing value is shown in Table 5 to each unit.
5 X blocks crude oil density in stock tank of table, initial gas-oil ratio, volume factor choosing value are according to table
According to reserves parameter determined above, petroleum-in-place is calculated using volumetric method, is shown in Table 6.It is calculated with Nz=N ρ o.In formula:N, Nz- oil in-place, 104m3, 104t;Ao- contains pasta Product, km2;H- effective thickness, m;Effecive porosity, f;Soi- initial oil saturations, f;Boi- original oil volumes system Number, zero dimension;ρ o- crude oil density in stock tank, t/m3
6 X block incremental oil control reserves tables of data of table
For the ordinary skill in the art, specific example has only carried out the present invention in conjunction with attached drawing exemplary Description, it is clear that present invention specific implementation is not subject to the restrictions described above, and can choose typical curve combination according to different regions And rock and mineral component feature, as long as using the improvement of the various unsubstantialities of inventive concept and technical scheme of the present invention progress, Or it is not improved by the present invention design and technical solution directly apply to other occasions, protection scope of the present invention it It is interior.

Claims (5)

1. a kind of reservoir geology reserve forecasting method, it is characterised in that include the following steps:
(1) computing unit is divided:Plane distribution based on oil reservoir and characteristics of reservoirs calculate list in longitudinal reserves that divide from bottom to top Member;
(2) data is enrolled:For the computing unit that step (1) is divided, adjoining area same layer position drilling well, formation testing and survey are relied on Well enrolls data;
(3) Oil Reservoir Types are determined:Using the data of step (2), shaken using horizon calibration, full 3 D stereo Fine structural interpretation and well In conjunction with determining trap structure;
(4) oil area is drawn a circle to approve:According to the Oil Reservoir Types that step (3) determines, oil area is drawn a circle to approve according to trap structure isobath;
(5) calculating parameter is determined:In conjunction in step (2) drilling well, formation testing and well logging gained data, determine reservoir division standard, Individual well effective thickness, oil density, effecive porosity and oil saturation;
(6) oil volume factor:B0i=-5.855 × ρ0 2+9.4193×ρ0- 2.6101,
In formula:B0i:Oil volume factor, ρ0:Oil density, t/m3;
(7) reserves calculate:According to formulaWith Nz=N ρ0It calculates;
In formula:N- oil in-places, 104m3;Nz- oil in-places, 104t;AoOil area, km2;H- effective thickness, m;Effecive porosity, f;SoiInitial oil saturation, f;B0iOil volume factor, zero dimension;ρ0Oil density, t/m3
2. reservoir geology reserve forecasting method according to claim 1, it is characterised in that:In step (5), by each calculating Unit is sketched effective thickness isopleth according to individual well effective thickness and oil-layer distribution, and each unit is weighed using effective thickness isopleth Method determines effective thickness.
3. reservoir geology reserve forecasting method according to claim 1, it is characterised in that include the following steps:In step (5) it in, is chosen using porosity model combination core analyzing data, individual well effecive porosity is weighed using thickness, plane Upper identical layer position porosity is averagely determined using well point.
4. reservoir geology reserve forecasting method according to claim 1, it is characterised in that include the following steps:In step (5) in, individual well oil saturation selects volume balance method to determine.
5. reservoir geology reserve forecasting method according to claim 4, it is characterised in that include the following steps:Block oil-containing Saturation degree is calculated using more well arithmetic means.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110578509A (en) * 2019-07-27 2019-12-17 大庆油田有限责任公司 Encryption adjusting method suitable for horizontal well region of low-permeability oil field
CN110609328A (en) * 2019-09-11 2019-12-24 大庆油田有限责任公司 Oil saturation prediction method based on well-seismic combination
CN110821484A (en) * 2019-10-30 2020-02-21 中国石油天然气股份有限公司大港油田分公司 Calculation method and storage medium for geological reserve of continental facies matrix type shale oil
CN112131522A (en) * 2020-09-07 2020-12-25 中海石油(中国)有限公司 Method for predicting hydrocarbon column height of middle-deep oil and gas reservoir
CN112431588A (en) * 2020-10-15 2021-03-02 中国石油天然气股份有限公司 Side drilling well selection optimization method
CN112746839A (en) * 2019-10-31 2021-05-04 中国石油天然气股份有限公司 Method and device for determining volume coefficient of crude oil
CN112801461A (en) * 2021-01-06 2021-05-14 中国石油天然气股份有限公司 Method and device for determining exploration planning index of petroleum block
CN113434896A (en) * 2021-08-27 2021-09-24 豪符密码检测技术(成都)有限责任公司 Method for encrypting, protecting and using data in mineral resource and geographic space fields
CN115099991A (en) * 2022-07-20 2022-09-23 中国科学院大学 Heterogeneous oil reservoir dynamic oil saturation calculation method based on production data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006093492A2 (en) * 2005-02-28 2006-09-08 Kerr-Mcgee Rocky Mountain Llc A method for direct permeability logging of a subterranean formation
CN101937108A (en) * 2009-07-03 2011-01-05 中国石油天然气股份有限公司 Determining method for surveying reserves of hypotonic clastic rock oil-gas reservoir
CN104933246A (en) * 2015-06-15 2015-09-23 中国海洋石油总公司 Method for quantitatively representing contribution of gas field reserves parameters to reserves change

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006093492A2 (en) * 2005-02-28 2006-09-08 Kerr-Mcgee Rocky Mountain Llc A method for direct permeability logging of a subterranean formation
CN101937108A (en) * 2009-07-03 2011-01-05 中国石油天然气股份有限公司 Determining method for surveying reserves of hypotonic clastic rock oil-gas reservoir
CN104933246A (en) * 2015-06-15 2015-09-23 中国海洋石油总公司 Method for quantitatively representing contribution of gas field reserves parameters to reserves change

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
潘忠祥: "《石油地质学》", 30 June 1986, 石油工业出版社 *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110578509B (en) * 2019-07-27 2022-03-08 大庆油田有限责任公司 Encryption adjusting method suitable for horizontal well region of low-permeability oil field
CN110578509A (en) * 2019-07-27 2019-12-17 大庆油田有限责任公司 Encryption adjusting method suitable for horizontal well region of low-permeability oil field
CN110609328A (en) * 2019-09-11 2019-12-24 大庆油田有限责任公司 Oil saturation prediction method based on well-seismic combination
CN110609328B (en) * 2019-09-11 2022-03-22 大庆油田有限责任公司 Oil saturation prediction method based on well-seismic combination
CN110821484A (en) * 2019-10-30 2020-02-21 中国石油天然气股份有限公司大港油田分公司 Calculation method and storage medium for geological reserve of continental facies matrix type shale oil
CN112746839A (en) * 2019-10-31 2021-05-04 中国石油天然气股份有限公司 Method and device for determining volume coefficient of crude oil
CN112746839B (en) * 2019-10-31 2023-07-25 中国石油天然气股份有限公司 Method and device for determining volume coefficient of crude oil
CN112131522A (en) * 2020-09-07 2020-12-25 中海石油(中国)有限公司 Method for predicting hydrocarbon column height of middle-deep oil and gas reservoir
CN112131522B (en) * 2020-09-07 2024-02-13 中海石油(中国)有限公司 Method for predicting height of hydrocarbon column of middle-deep hydrocarbon reservoir
CN112431588B (en) * 2020-10-15 2023-07-25 中国石油天然气股份有限公司 Sidetracking well selection optimization method
CN112431588A (en) * 2020-10-15 2021-03-02 中国石油天然气股份有限公司 Side drilling well selection optimization method
CN112801461A (en) * 2021-01-06 2021-05-14 中国石油天然气股份有限公司 Method and device for determining exploration planning index of petroleum block
CN112801461B (en) * 2021-01-06 2024-03-05 中国石油天然气股份有限公司 Method and device for determining exploration planning index of petroleum block
CN113434896B (en) * 2021-08-27 2021-11-02 豪符密码检测技术(成都)有限责任公司 Method for encrypting, protecting and using data in mineral resource and geographic space fields
CN113434896A (en) * 2021-08-27 2021-09-24 豪符密码检测技术(成都)有限责任公司 Method for encrypting, protecting and using data in mineral resource and geographic space fields
CN115099991A (en) * 2022-07-20 2022-09-23 中国科学院大学 Heterogeneous oil reservoir dynamic oil saturation calculation method based on production data

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Application publication date: 20181023