CN102890146A - Correction method for oil-gas geochemical exploration data influence factors - Google Patents
Correction method for oil-gas geochemical exploration data influence factors Download PDFInfo
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Abstract
The invention provides a quantitative correction method for oil-gas geochemical exploration data influence factors, which is a quantitative correction technique for oil-gas geochemical exploration data influence factors implemented by using a multi-factor comprehensive correction technique. The method comprises the following steps: firstly, carrying out single-factor quantitative correction on various oil-gas geochemical exploration data influence factors, and determining primary and secondary influence factors; and then, carrying out comprehensive correction on the influence factors so as to inhibit the multi-factor influence as a whole. Besides the hydrocarbon flux of a regional geochemical field, factors influencing the abundance of geochemical exploration indexes mainly include the influence of sample collection, biological methane, soil particle size, color and tone, and organic matter and carbonate contents, and the like. But the main influence factors may be different in different regions, under different geological and surface conditions and in different indexes. According to the invention, through carrying out multi-factor comprehensive correction, the multi-factor influence is inhibited as a whole, so that geochemical exploration data subjected to processing comprehensively and accurately reflects the background and anomaly of geochemical exploration indexes, thereby more effectively delineating oil-gas enrichment regions.
Description
Technical field
The invention relates to a kind of hydrocarbon geochemical exploration data influence factor correction method, specifically is about a kind of multifactor comprehensive and quantitative alignment technique.
Background technology
The sampling media of hydrocarbon geochemical exploration is changeable, and analytical approach is many, and area is large, and it is many to count, and the analysis data that therefore finally obtain are large batch of often.And Oil And Gas Geochemical Data constantly accumulates, and the data volume that obtains grows with each passing day.The factor that affects the hydrocarbon geochemical exploration index is a lot, and different regions, the influence factor of different indexs and the effect size of each factor all are not quite similar.It is necessary that hydrocarbon geochemical exploration data influence factor is carried out respectively each single factor correction, but because the complicacy of geologic media, it often is subject to the combined influence of many factors, namely conditions each other between each factor, jointly relies on again and deposits.Therefore only carry out the purpose that single factor correction can not satisfy GEOCHEMICAL DATA quantitative correction technology, need to carry out multifactor comprehensive and quantitative and proofread and correct.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of hydrocarbon geochemical exploration data influence factor correction method, set up on the whole the method that suppresses many influence factors, a plurality of variablees are observed, compiled abundant raw information, reflect the relevant side with each of geological phenomenon of studying comprehensively.
For reaching above-mentioned purpose, the invention provides a kind of hydrocarbon geochemical exploration data influence factor correction method, the method comprises:
Multiple hydrocarbon geochemical exploration data influence factor is carried out first single factor quantitative correction, determine that primary and secondary wants influence factor, then carry out integrated calibration, suppress on the whole multifactor impact.
According to specific embodiments of the present invention, hydrocarbon geochemical exploration data influence factor correction method of the present invention wherein, is set y for describing the content of index under arbitrary geologic condition, x
iFor affecting arbitrary factor of this index content, utilize y and x
iMultiple linear regression equations can carry out disposable unified the correction to this index content and various factors, that is:
y＝a
0+a
1x
1+a
2x
2+…+a
ix
i。
In the above-mentioned formula, a
i(i=1,2 ..., m) be variable power, expression Geochemical Indices influence factor x
iSignificance level.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, described hydrocarbon geochemical exploration data influence factor comprises one or more in the impact, biological methane, soil grades, color and tint, organic matter, carbonate content of flux, the sample collection of Regional Geochemical Fields hydrocarbon.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, determine that according to different regions, different geology, surface conditions and different indexs each influence factor is to hydrocarbon geochemical exploration data influence degree.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, described hydrocarbon geochemical exploration data influence factor comprises the impact of sample collection, the method comprises by mild clay, each sampled point that gathers the same layer position should bore 3～5 at a distance of the thieff hatch of 2.0m, to weaken or to eliminate the impact of sample collection.
According to specific embodiments of the present invention, hydrocarbon geochemical exploration data influence factor correction method of the present invention, also comprise by sieve go sample less than 40 orders or 60 purpose coarse components, to weaken or to eliminate the impact of biological methane gas in the sample collection.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, described hydrocarbon geochemical exploration data influence factor comprises the impact of earth's surface biological gas methane, and the method comprises weakening in the following ways or eliminating earth's surface biological gas to be affected:
(1) gather a plurality of samples, in a plurality of samples, Geochemical Indices minimum sample is as ordinate under the selection equivalent environment, and lithology, color, carbonate content etc. adopt the biochemical hydrocarbon number of fields of polynary equation of higher degree match near surface to learn model as horizontal ordinate;
(2) utilize above-mentioned model to ask for biochemical hydrocarbon amount, deduct the biochemical hydrocarbon amount of near surface with the analysis data of surveying, can obtain underground migration hydrocarbon amount;
(3) data after use proofreading and correct are judged and the primary and secondary that affects of other disturbing factors are adopted normalization method to proofread and correct one by one again.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, described hydrocarbon geochemical exploration data influence factor comprises the impact of Profiling for Soil Lithology, granularity, and the method comprises the impact that weakens in the following ways or eliminate Profiling for Soil Lithology, granularity:
Weaken or eliminate the sex mode of soilstone: determine that according to clay＞mild clay＞sand loam＞sand adsorptive power is strong and weak;
Weaken or eliminate the mode of particle size influences: methane is considered as dependent variable, and granularity is set up the equation of linear regression formula and is unified to proofread and correct as independent variable.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, described hydrocarbon geochemical exploration data influence factor comprises the impact of soil color and tone, and the method comprises the impact of determining soil color and tone according to following principle:
Black represents reducing environment, the red well-oxygenated environment that represents; Sediment with reduced color is easy to close hydrocarbon; The tone dark person, Acid Hydrolytic Hydrocarbon content is high.
According to specific embodiments of the present invention, in the hydrocarbon geochemical exploration data influence factor correction method of the present invention, described hydrocarbon geochemical exploration data influence factor comprises the impact of carbonate content, and the method comprises the impact of determining carbonate content according to following principle:
Carbonate content is higher in the sample, and Acid Hydrolytic Hydrocarbon content is larger; When both become obvious linear relationship, utilize the method for linear regression, carbonate content is carried out calibration greater than the Acid Hydrolytic Hydrocarbon content of each geochemical exploration point of zone leveling value.
In the hydrocarbon geochemical exploration data influence factor correction method of the present invention, by first various influence factors being carried out single factor quantitative correction, then carry out multifactor integrated calibration, on the basis of clear and definite each influence factor of Geochemical Indices, by the method for multiple linear regression, can clear and definite major influence factors, carry out quantitative correction, so that GEOCHEMICAL DATA is representative, thereby reflect better subterranean oil gas field distribution situation.
Description of drawings
Fig. 1 is (picture A) and correction rear (picture B) contrast synoptic diagram before top, northern China MGL oil field Acid Hydrolytic Hydrocarbon methane content influence factor is proofreaied and correct.
Embodiment
Further describe bearing calibration of the present invention and obtained technique effect below by embodiment, but the present invention is not therefore subject to any restriction.
Hydrocarbon geochemical exploration data influence factor correction method provided by the invention comprises multiple hydrocarbon geochemical exploration data influence factor is carried out integrated calibration, suppresses on the whole multifactor impact.Wherein, suppose that y is for describing the content of index under arbitrary geologic condition, x
iFor affecting arbitrary factor of this index content, utilize y and x
iMultiple linear regression equations can carry out disposable unified the correction to this index content and various factors, that is:
y＝a
0+a
1x
1+a
2x
2+…+a
ix
i。
According to specific embodiments of the present invention, affect the factor of hydrocarbon geochemical exploration index abundance except the flux of Regional Geochemical Fields hydrocarbon, mainly contain impact, biological methane, soil grades, color and tint, organic matter, carbonate content of sample collection etc.But different regions, different geology, surface conditions and different its major influence factors of index may be different.Below respectively each major influence factors is elaborated:
1. the impact of sample collection
Sampling depth impact is larger in the sample collection process, needs to determine suitable sampling depth by test, and according to the soil layering feature, gathers the mild clay of same layer position as far as possible.Each sampled point should bore 3～5 and remove the sample that pollution is arranged at a distance of the thieff hatch of 2.0m, gets the equal amount of mixture of other pollution-free sample.
The biological chemistry action of the microorganisms such as bacterium, generally more strong in the medium that organic matter is abundant, liquid water content is more, free space is larger under the identical condition of other conditions, so contain more biogas in the chiltern medium.The data of table one and other regional analysis results have all confirmed this point.Therefore, go the coarse component (less than 40 orders or 60 orders) of sample can remove the impact of most of biological methane gas by sieve.
Each Geochemical Indices of the different geomorphologic units of areal also has more different, for example north of Ordos basin different landforms Landscape Region Geochemical Indices abundance is characterized as, loess area Acid Hydrolytic Hydrocarbon (methane, heavy hydrocarbon) content is the highest, and zone of transition is taken second place, and the desert area abundance is minimum.The river that general landform is low-lying, Groundwater Flow is not smooth, vegetation grows thickly, delta and lakes and marhshes area, the Acid Hydrolytic Hydrocarbon increased content.Therefore, sample collection is selected the sample of identical geomorphic unit as far as possible.
The sample collection time makes every effort to finish within the shortest time in same season, avoids the rainy day, to reduce the impact of Changes in weather.Ignore sampling horizon and condition, the method that relies on the later stage correction fully is worthless.
Table one soil-like is thick, particulate adsorbed hydrocarbons content (μ L/kg)
2. single factor quantitative correction
1) biological methane
The interference of biogenetic gas in the ground of earth's surface is to be caused by the biogas that two different times generate.The one, during the deposition that may preserve or the biogas that generates in the process of shallow embedding Tibetan; The one, uplift is behind the earth's surface, and the biogas that soil horizon generates is the hydrocarbon gas by the organic methane rich that forms through the anaerobic bacteria effect of deposition.The distribution of biogenetic gas on the earth's surface is the impact that is subjected to earth's surface biochemical one-tenth hydrocarbon effect, and distributing with underground oil and gas, it doesn't matter.Therefore, utilize the distribution of earth's surface groundization to infer that underground oil and gas distributes and at first will eliminate the impact of biological methane gas.
The composition of biogenetic gas has comparative advantage with methane, and the growth rate of methane content is very fast in other words, C
2 +The content of heavy hydrocarbon component is relatively less.And from the migration hydrocarbon of hydrocarbon-bearing pool, take methane in main, contain more heavy hydrocarbon component.The contained methane content of available each measuring point is unusual with recently dividing of the content of proofreading and correct rear each point heavy hydrocarbon.That is:
∑C
2i +·k＝∑C
2j +
C
1i/∑C
2j +＝c
In the formula:
---the average of methane content in the sandy soil;
K---correction coefficient;
∑ C
2i +---each measuring point heavy hydrocarbons content;
∑ C
2j +---each measuring point heavy hydrocarbons content after proofreading and correct;
C
1i---each measuring point methane content;
C---each measuring point methane content and the ratio of proofreading and correct rear each measuring point heavy hydrocarbons content.
Theoretically, the identical or equal samples of factor such as lithology is identical, solid colour, carbonate content are representing the product under the same environment, and the ability of their adsorbed hydrocarbons should be roughly suitable, and the adsorbed hydrocarbons amount is very nearly the same.The high sample of hydrocarbon content under the equivalent environment illustrates the superposition of earth's surface biological Chemical Genesis hydrocarbon, and the product of the representative earth's surface biochemical action that the minimum sample can be similar under the equivalent environment.Based on this, also available following methods is eliminated the impact of earth's surface biological gas: (1) is in plurality of samples, Geochemical Indices minimum sample is as ordinate under the selection equivalent environment, lithology, color, carbonate content etc. adopt the biochemical hydrocarbon number of fields of polynary equation of higher degree match near surface to learn model as horizontal ordinate; (2) utilize this model to ask for biochemical hydrocarbon amount, deduct the biochemical hydrocarbon amount of near surface with the analysis data of surveying, can obtain underground migration hydrocarbon amount; (3) data after use proofreading and correct are judged and the primary and secondary that affects of other disturbing factors are adopted normalization method to proofread and correct one by one again.
2) Profiling for Soil Lithology (granularity)
It is generally acknowledged that adsorptive power is directly proportional with specific grain surface, particle diameter is less, and adsorptive power is stronger, shows as clay＞mild clay＞sand loam＞sand.But seeing Acid Hydrolytic Hydrocarbon content in many areas increases with the grain size of sediment chap.This be because: the result of (1) biogenetic gas in modern age superposition; (2) tax is being deposited than more moisture in the clay in the sandy soil, and gas exchange action is more active, and when the migration hydrocarbon migrated upwardly to this layer, oxidation formed a certain amount of occlusion hydrocarbon, and its existence affects the content of Acid Hydrolytic Hydrocarbon.Particle diameter is larger on the impact of methane, and the trend of sand＞clay is namely arranged, and less on the impact of ethane.
The method that suppresses particle size influences is, methane is considered as dependent variable (y), and granularity is set up the equation of linear regression formula and unified to proofread and correct as independent variable (x).For example the regression equation of somewhere Acid Hydrolytic Hydrocarbon and grain size of sediment is:
y＝30.95+2.89x
Following formula represents, the every increase by 1% of sand grains, and methane content increases by 2.89 μ L/kg.Methane can be returned on a certain sand grain content level, the methane content that makes each measuring point compares under the consistent background condition of granularity, determines unusual.
3) color and tint
Soil color is different, reflected that its compound forms and wherein the valence state of metallic ion differ, illustrate that the environment of its generation is different.Because different compounds has different absorption properties, so color sample has certain influence to the abundance of Geochemical Indices.General black represents reducing environment, the red well-oxygenated environment that represents.Sediment with reduced color is easy to close hydrocarbon.The analysis result of table two has illustrated this point, and this view is also supported in forefathers' work.
Acid Hydrolytic Hydrocarbon content (μ L/kg) in the landlocked different colours sample of table two
| Color | Reddish brown | Pale brown | Yellow | Brown | Ash is brown | Greyish black |
| Total hydrocarbon | 1.65 | 1.70 | 2.15 | 2.92 | 5.40 | 12.0 |
General tone dark person, Acid Hydrolytic Hydrocarbon content is high.Tone can be considered as organic external manifestation to the Acid Hydrolytic Hydrocarbon content influence to a certain extent.
4) carbonate content
In the recent sediment in various degree contain polytype carbonate, its origin cause of formation has two kinds, the inorganic carbonate that one is parent rock forms through weathering or groundwater activities; Another origin cause of formation is to be subjected to the Deep Oil-gas migration to affect the organic origin carbonate that forms through oxidation at shallow-layer.Carbonate content is higher in the sample, and Acid Hydrolytic Hydrocarbon content is larger.When both become obvious linear relationship, can utilize the method for linear regression, carbonate content is carried out calibration greater than the Acid Hydrolytic Hydrocarbon content of each geochemical exploration point of zone leveling value.Correction equation such as the somewhere is:
Methane and carbonate:
Heavy hydrocarbon and carbonate:
Following formula shows the every increase by 1% of carbonate content, and methane increases by 9.27 μ L/kg, and heavy hydrocarbon increases by 1.42 μ L/kg.
5) other factors
The content of many regional Acid Hydrolytic Hydrocarbons and organic carbon are obvious positive correlation linear relationship.Organic matter is one of source of near surface methane, and it is for the impact of Acid Hydrolytic Hydrocarbon content, and is except depending on that organic matter type and evolutionary track be outside one's consideration, also relevant with the stronger adsorptive power of organic matter.
Rock humidity is larger on the impact of Acid Hydrolytic Hydrocarbon content, because the existence of moisture has reduced the free area of rock.In addition, the factors such as season, vegetation, water system are also influential to Geochemical Indices.
3. multifactor integrated calibration
The factor that affects Geochemical Indices is a lot, and different regions, the influence factor of different indexs and the effect size of each factor all be not quite similar, and preferably carries out multifactor integrated calibration.For example for Acid Hydrolytic Hydrocarbon content, it is necessary carrying out respectively each single factor correction, but because the complicacy of geologic media, it often is subject to the combined influence of many factors, both conditions each other between each factor, jointly relies on again and deposits.Therefore, must set up on the whole the method that suppresses many influence factors.Suppose that y is for describing certain Geochemical Indices under arbitrary geologic condition, x
iFor affecting arbitrary factor of this index content, utilize y and x
iMultiple linear regression equations can carry out disposable unified the correction to this index and various factors, that is:
y＝a
0+a
1x
1+a
2x
2+…+a
ix
i
A wherein
i(i=1,2 ..., m) be variable power, expression Geochemical Indices influence factor x
i(i=1,2 ..., significance level m).a
iLarger, expression influence factor x
iAct on larger.a
iIt is the important evidence of influence factor screening and classification.(n 〉=when m) organizing observation data, can construct one group of multivariate linear equations utilizes stepwise regression analysis in that n is arranged, rejecting is on the less factor of y impact, reservation is set up equation of linear regression with least square fitting, and is carried out significance test the larger factor of y impact.
In sum, the invention provides a kind of hydrocarbon geochemical exploration influence factor quantitative correction method, first various influence factors are carried out single factor quantitative correction, then carry out multifactor integrated calibration, on the basis of clear and definite each influence factor of Geochemical Indices, by the method for multiple linear regression, can clear and definite major influence factors, carry out quantitative correction, so that GEOCHEMICAL DATA is representative, thereby reflect better subterranean oil gas field distribution situation.
Embodiment 1
Using said method proofreaies and correct the influence factor of the Acid Hydrolytic Hydrocarbon methane content of top, northern China MGL oil field, top, (figure one A) rear (figure one B) oil field abnormal morphology has obvious improvement before proofreading and correct, the methane continuity that unusually distributes in top, oil field is better after proofreading and correct, form more perfect annular anomaly at the edge, oil field, with typically oil field annular anomaly pattern is better gentle both at home and abroad.Anormogenesis is interrupted before proofreading and correct, and weak or unusual agensis place is because multiple impact causes on the annular anomaly band.
Other embodiment
The present invention also utilizes described hydrocarbon geochemical exploration data influence factor correction method to carry out multifactor integrated calibration in oil fields such as AN, AB, HDT, has also obtained preferably effect, has produced certain economic benefit.
Utilize method of the present invention, connect basin A Nan depression to two, all day the ground such as wood depression has carried out hydrocarbon geochemical exploration work, collected specimens is 3466 altogether, carried out Acid Hydrolytic Hydrocarbon, heat is released carbonate, heat is released mercury, the analysis such as fluorescence spectrum and ultraviolet spectrum, by data are processed with unusually definite, the steps such as index optimization, effectively eliminated the geochemical exploration influence factor, in known field area, set up the geochemical anomaly pattern, and according to these abnormal patterns the Geochemical Data in the areas such as wood all day is explained, in conjunction with concrete geologic background condition, explained Anomalies Genesis and combination form thereof, point out the favorable exploration district.
Above-mentioned achievement in research is by caving in and all application of day wood depression in two basins and A Nan, the early stage oil-gas exploration in basin and original oil zone progressive exploratioon and development played known effect, promote oil-gas exploration work progress in the study area, obtained significant economic benefit.Connect basin A Nan depression two, according to the abnormal patterns in the oil fields such as Mongolian woods, A Nan, A Bei, hada figure, the comprehensive exceptions area in 1 hollow groove Ha Bei slope is joined by the company of proposition, this district's anomaly area is large, and index is complete, and south is nearer apart from the Ha Bei oil field, give birth to, the storage condition is all good, this distinguishes comprehensive evaluation and is Favorable Areas.Confirm that through probing this exceptions area is seen show of oil and gas, has confirmed the validity of geochemical anomaly.At day wooden regional geochemical exploration interpretation of anomaly all join the reason of 1 well failure, with its updip anticline high-order bit of strategy be favo(u)rable target.
More than explanation hydrocarbon geochemical exploration data influence factor correction method of the present invention is confirmed after practical application, has played the effect that predicting oil/gas distributes and knows oil-gas exploration work.
Claims (10)
1. hydrocarbon geochemical exploration data influence factor correction method, the method comprises:
Multiple hydrocarbon geochemical exploration data influence factor is carried out first single factor quantitative correction, determine that primary and secondary wants influence factor, then carry out integrated calibration, suppress on the whole multifactor impact.
2. hydrocarbon geochemical exploration data influence factor correction method according to claim 1 wherein, is set y for describing the content of index under arbitrary geologic condition, x
iFor affecting arbitrary factor of this index content, utilize y and x
iMultiple linear regression equations can carry out disposable unified the correction to this index content and various factors, that is:
y＝a
0+a
1x
1+a
2x
2+…+a
ix
i。
3. hydrocarbon geochemical exploration data influence factor correction method according to claim 1, wherein, described hydrocarbon geochemical exploration data influence factor comprises one or more in the impact, biological methane, soil grades, color and tint, organic matter, carbonate content of flux, the sample collection of Regional Geochemical Fields hydrocarbon.
4. hydrocarbon geochemical exploration data influence factor correction method according to claim 3 wherein, determines that according to different regions, different geology, surface conditions and different indexs each influence factor is to hydrocarbon geochemical exploration data influence degree.
5. hydrocarbon geochemical exploration data influence factor correction method according to claim 1, wherein, described hydrocarbon geochemical exploration data influence factor comprises the impact of sample collection, the method comprises by mild clay, each sampled point that gathers the same layer position should bore 3～5 at a distance of the thieff hatch of 2.0m, to weaken or to eliminate the impact of sample collection.
6. hydrocarbon geochemical exploration data influence factor correction method according to claim 5, the method also comprise by sieve go sample less than 40 orders or 60 purpose coarse components, to weaken or to eliminate the impact of biological methane gas in the sample collection.
7. hydrocarbon geochemical exploration data influence factor correction method according to claim 5, described hydrocarbon geochemical exploration data influence factor comprises the impact of earth's surface biological gas methane, the method comprises and weakens in the following ways or eliminate the impact of earth's surface biological gas:
(1) gather a plurality of samples, in a plurality of samples, Geochemical Indices minimum sample is as ordinate under the selection equivalent environment, and lithology, color, carbonate content etc. adopt the biochemical hydrocarbon number of fields of polynary equation of higher degree match near surface to learn model as horizontal ordinate;
(2) utilize above-mentioned model to ask for biochemical hydrocarbon amount, deduct the biochemical hydrocarbon amount of near surface with the analysis data of surveying, can obtain underground migration hydrocarbon amount;
(3) data after use proofreading and correct are judged and the primary and secondary that affects of other disturbing factors are adopted normalization method to proofread and correct one by one again.
8. hydrocarbon geochemical exploration data influence factor correction method according to claim 1, described hydrocarbon geochemical exploration data influence factor comprises the impact of Profiling for Soil Lithology, granularity, the method comprises the impact that weakens in the following ways or eliminate Profiling for Soil Lithology, granularity:
Weaken or eliminate the sex mode of soilstone: determine that according to clay＞mild clay＞sand loam＞sand adsorptive power is strong and weak;
Weaken or eliminate the mode of particle size influences: methane is considered as dependent variable, and granularity is set up the equation of linear regression formula and is unified to proofread and correct as independent variable.
9. hydrocarbon geochemical exploration data influence factor correction method according to claim 1, described hydrocarbon geochemical exploration data influence factor comprises the impact of soil color and tone, the method comprises the impact of determining soil color and tone according to following principle:
Black represents reducing environment, the red well-oxygenated environment that represents; Sediment with reduced color is easy to close hydrocarbon; The tone dark person, Acid Hydrolytic Hydrocarbon content is high.
10. hydrocarbon geochemical exploration data influence factor correction method according to claim 1, described hydrocarbon geochemical exploration data influence factor comprises the impact of carbonate content, the method comprises the impact of determining carbonate content according to following principle:
Carbonate content is higher in the sample, and Acid Hydrolytic Hydrocarbon content is larger; When both become obvious linear relationship, utilize the method for linear regression, carbonate content is carried out calibration greater than the Acid Hydrolytic Hydrocarbon content of each geochemical exploration point of zone leveling value.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778638A (en) * | 2014-01-29 | 2014-05-07 | 核工业北京地质研究院 | Adjustment method of sub-segment background difference of geophysical and geochemical exploration data |
| CN105488583A (en) * | 2015-11-23 | 2016-04-13 | 中国石油天然气股份有限公司 | Method and device for predicting recoverable reserve of tight oil in to-be-valuated region |
| CN107817332A (en) * | 2016-09-12 | 2018-03-20 | 中国石油化工股份有限公司 | A kind of method for characterizing potential hydrocarbon source rock later stage preservation efficiency |
| CN112345413A (en) * | 2020-09-18 | 2021-02-09 | 武汉大学 | Method for testing global distribution of infiltration water and inorganic solute under micro-spray irrigation condition |
| CN113655538A (en) * | 2020-05-12 | 2021-11-16 | 中国石油化工股份有限公司 | Oil and gas chemical exploration anomaly prior constraint discrimination prediction method and system |
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2011
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778638A (en) * | 2014-01-29 | 2014-05-07 | 核工业北京地质研究院 | Adjustment method of sub-segment background difference of geophysical and geochemical exploration data |
| CN105488583A (en) * | 2015-11-23 | 2016-04-13 | 中国石油天然气股份有限公司 | Method and device for predicting recoverable reserve of tight oil in to-be-valuated region |
| CN105488583B (en) * | 2015-11-23 | 2019-11-08 | 中国石油天然气股份有限公司 | The method and device of the fine and close oil region recoverable reserves to be evaluated of prediction |
| CN107817332A (en) * | 2016-09-12 | 2018-03-20 | 中国石油化工股份有限公司 | A kind of method for characterizing potential hydrocarbon source rock later stage preservation efficiency |
| CN107817332B (en) * | 2016-09-12 | 2020-06-23 | 中国石油化工股份有限公司 | Method for representing later-period preservation efficiency of potential hydrocarbon source rock |
| CN113655538A (en) * | 2020-05-12 | 2021-11-16 | 中国石油化工股份有限公司 | Oil and gas chemical exploration anomaly prior constraint discrimination prediction method and system |
| CN113655538B (en) * | 2020-05-12 | 2024-03-26 | 中国石油化工股份有限公司 | Oil-gas exploration anomaly priori constraint discrimination prediction method and system |
| CN112345413A (en) * | 2020-09-18 | 2021-02-09 | 武汉大学 | Method for testing global distribution of infiltration water and inorganic solute under micro-spray irrigation condition |
| CN112345413B (en) * | 2020-09-18 | 2021-12-17 | 武汉大学 | Method for testing global distribution of infiltration water and inorganic solute under micro-spray irrigation condition |
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Application publication date: 20130123 |