CN106022946A - Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability - Google Patents
Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability Download PDFInfo
- Publication number
- CN106022946A CN106022946A CN201610392392.XA CN201610392392A CN106022946A CN 106022946 A CN106022946 A CN 106022946A CN 201610392392 A CN201610392392 A CN 201610392392A CN 106022946 A CN106022946 A CN 106022946A
- Authority
- CN
- China
- Prior art keywords
- probability
- control
- oil
- litho
- gas
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 148
- 239000004215 Carbon black (E152) Substances 0.000 claims abstract description 147
- 150000002430 hydrocarbons Chemical class 0.000 claims abstract description 147
- 239000011435 rock Substances 0.000 claims description 129
- 230000015572 biosynthetic process Effects 0.000 claims description 71
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 42
- 238000009826 distribution Methods 0.000 claims description 19
- 230000008859 change Effects 0.000 claims description 10
- 241000208340 Araliaceae Species 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
- 230000000704 physical effect Effects 0.000 claims description 3
- 238000005381 potential energy Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 17
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 17
- 238000004590 computer program Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 230000002349 favourable effect Effects 0.000 description 5
- 239000003208 petroleum Substances 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 208000035126 Facies Diseases 0.000 description 3
- 238000002224 dissection Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 241001074085 Scophthalmus aquosus Species 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003129 oil well Substances 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012067 mathematical method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Agronomy & Crop Science (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Husbandry (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Production Of Liquid Hydrocarbon Mixture For Refining Petroleum (AREA)
Abstract
The invention discloses a method and a device for determining lithologic stratigraphic trap oil and gas entrapment probability. The method comprises the steps that an entrapment control geologic model of every master control factor is established; the entrapment control probability of every master control factor is determined according to the entrapment control geologic model of every master control factor; and the lithologic stratigraphic trap oil and gas entrapment probability is determined according to the entrapment control probabilities of all of the master control factors. According to a petrophysical phase control oil and gas geologic model, entrapment probability of a petrophysical phase is determined, and the determining process comprises the steps that a physical parameter value corresponding to maximum oil and gas content of lithologic stratigraphic trap is standardized to be maximum entrapment probability; the physical parameter value corresponding to the minimal oil and gas content of the lithologic stratigraphic trap is standardized to be minimal entrapment probability; and the entrapment probability of the petrophysical phase is determined according to the maximum entrapment probability, the minimal entrapment probability, maximum porosity, and minimum porosity. By adopting the technical scheme, the accuracy of the prediction of the lithologic stratigraphic trap oil and gas entrapment probability is improved, and the exploration direction of the lithologic stratigraphic hydrocarbon reservoir is indicated.
Description
Technical field
The present invention relates to petroleum resources Quantitative Forecasting Technology field, determine that litho-stratigraphic trap oil gas becomes particularly to one
Hide the method and device of probability.
Background technology
In oil exploration and exploitation, Hydrocarbon Enrichment Regularity and the favourable petroleum play of Stratigraphic and subtle reservoirs are predicted always
It is people's problems of interest, and for the analysis of oil-gas possibility Dominated Factors in litho-stratigraphic trap and favorable exploration areas
The quantitative study of band is directly connected to the success rate of oil-gas exploration.But, due to geological conditions complexity with become hide bar
The uncertainty of part so that the research is made slow progress, becomes a difficult problem urgently to be resolved hurrily.Traditional oil gas ground
Matter theory thinks that the formation of oil-gas reservoir is main with distribution will by six geology such as " give birth to, store up, cover, transport, enclose, protect "
The control of element, and these six key elements have been carried out qualitative analysis and logical deduction, play in oil exploration and exploitation
Huge effect.But, some geologic elements in these six geologic elements is not geobody, is difficult to objective retouching
State or quantitatively characterizing (such as " transport, protect " two key elements), cause Hydrocarbon Formation Reservoirs probability being carried out quantitative forecast,
Therefore, it is increasingly difficult to meet the exploration demand of oil gas now.
For the problems referred to above, relevant scholar proposes following two method:
(1) equal to 2010,1035-1054 page in geology journal proposed " key element coupling " one-tenth Tibetan to Wang Huaijie
Pattern, it is indicated that " formation of structural deposit is main with distribution by regional cap rock (C), sedimentary facies (D), Gu Long
Play (M) and the control of hydrocarbon source stove (S) four geologic elements ".
(2) equal to 2011,756-763 page in Petroleum finance proposed for lithology oil gas Li Jianhua
" Dominated Factors " Reservoir model hidden, it is indicated that " formation of lithologic deposit and distribution mainly by regional cap rock (C),
Sedimentary facies (D), Di Shi district (P) and the control of hydrocarbon source stove (S) four geologic elements ", and for lithology oil gas
The favourable areal area hidden has carried out quantitative forecast.
Although the four elements mentioned in above two method all can represent geobody, but, in both approaches
The most macroscopical to the Research scale of " phase ", the most only the sedimentary facies of major concept is studied, fail from rock physics
This microcosmic concept carries out trickle research and quantitatively characterizing to the probability of Hydrocarbon Formation Reservoirs in depositional trap mutually.
Summary of the invention
Embodiments provide a kind of method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, in order to quantitative forecast
Litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, the method includes:
Control hydrocarbon characteristic and related reservoir according to litho-stratigraphic trap hydrocarbon reservoiring with the Dominated Factors of distribution are joined
Number, geological model is hidden in the control setting up each Dominated Factors；Described Dominated Factors includes: hydrocarbon source rock, high water cut,
Interface-potential and regional cap rock；Described control is hidden geological model and is included: hydrocarbon source rock control oil-gas geology model, high water cut
Control oil-gas geology model, interface-potential control oil-gas geology model and regional cap rock control oil-gas geology model；
Geological model is hidden in control according to each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors；
Probability is hidden in control according to all Dominated Factors, determines litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability；
Geological model is hidden in the described control according to each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors, including:
According to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut；
Wherein, described according to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut, including:
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility maximum is standardized as great achievement and hides probability；
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility minimum is standardized as minimum one-tenth and hides probability；
Maximum porosity according to litho-stratigraphic trap, minimal amount of porosity, great achievement are hidden probability and are become to hide probability with minimum,
Determine that probability is hidden in the control of high water cut.
On the other hand, embodiments provide a kind of device determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, use
With quantitative forecast litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, this device includes:
Single Dominated Factors control is hidden geological model and is set up module, for according to litho-stratigraphic trap hydrocarbon reservoiring and distribution
The control hydrocarbon characteristic of Dominated Factors and the related reservoir parameter of described litho-stratigraphic trap oil-gas reservoir, set up each master
Geological model is hidden in the control of control factor；Described Dominated Factors includes: hydrocarbon source rock, high water cut, interface-potential and region
Cap rock；Described control hide geological model include: hydrocarbon source rock control oil-gas geology model, rock physics phased oil-gas geology model,
Interface-potential control oil-gas geology model and regional cap rock control oil-gas geology model；
Probability determination module is hidden in single Dominated Factors control, hides geological model for the control according to each Dominated Factors, determines every
Probability is hidden in the control of individual Dominated Factors；
Litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability determination module, hides probability for the control according to all Dominated Factors, determines
Described litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability；
Described single Dominated Factors control hide probability determination module specifically for: according to rock physics phased oil-gas geology model,
Determine that probability is hidden in the control of high water cut；
Wherein, described according to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut, including:
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility maximum is standardized as great achievement and hides probability；
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility minimum is standardized as minimum one-tenth and hides probability；
Maximum porosity according to litho-stratigraphic trap, minimal amount of porosity, great achievement are hidden probability and are become to hide probability with minimum,
Determine that probability is hidden in the control of high water cut.
Compared with prior art, the technical scheme that the embodiment of the present invention provides has the advantage that
First, the embodiment of the present invention dissection by Stratigraphic and subtle reservoirs a large amount of to this district, it is determined that hydrocarbon source rock, rock
Stone physics phase, interface-potential and regional cap rock are that Stratigraphic and subtle reservoirs is formed and the control factor of distribution；Then pass through
The control hydrocarbon characteristic of each Dominated Factors is analyzed, sets up each single Dominated Factors control and hide geological model；Pass through geology again
Model, probability is hidden in the control calculating each single Dominated Factors；And then by each Dominated Factors in the overlapping of main Pool-forming time, to master
The Hydrocarbon Formation Reservoirs probability of Pool-forming time litho-stratigraphic trap carries out quantitatively characterizing；
Secondly, high water cut is also carefully studied by the embodiment of the present invention, by by litho-stratigraphic trap oil-containing
Physical parameter value corresponding during gas maximum is standardized as great achievement and hides probability；By litho-stratigraphic trap oil-gas possibility
Hour corresponding physical parameter value is standardized as minimum becoming to hide probability；Then, probability, is hidden according to described great achievement
Little one-tenth hides probability, the maximum porosity of litho-stratigraphic trap and minimal amount of porosity, it is determined that the control of high water cut is hidden general
Rate, and then petrophysical one-tenth Tibetan probability is carried out quantitative sign.
By above-mentioned analysis, the technical scheme that the embodiment of the present invention provides is greatly reduced lithologic character stratum oil gas
Hide the risk of exploration, improve the accuracy of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probabilistic forecasting, specify lithologic character stratum oil
The exploration trend of gas reservoir, considerably improves the success rate of litho-stratigraphic trap oil gas drilling, and the method is at oily basin
Ground has wide applicability.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, not
Constitute limitation of the invention.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of the method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability in the embodiment of the present invention；
Fig. 2 a, Fig. 2 b and Fig. 2 c are CDPS Dominated Factors combination pool-controlling models figures in the embodiment of the present invention；
Fig. 3 is that in the embodiment of the present invention, probability calculation model schematic is hidden in hydrocarbon source rock control；
Fig. 4 is rock physics phased Tibetan geological model figure in the embodiment of the present invention；
Fig. 5 is that geological model figure is hidden in the potential energy control of embodiment of the present invention median surface；
Fig. 6 a and Fig. 6 b is that in the embodiment of the present invention, geological model figure is hidden in regional cap rock control；
Fig. 7 is hundred mouthfuls of spring group litho-stratigraphic trap Hydrocarbon Formation Reservoirs probabilistic forecasting figures of Triassic period Mo in the embodiment of the present invention；
Fig. 8 is hundred mouthfuls of spring group litho-stratigraphic trap Hydrocarbon Formation Reservoirs of embodiment of the present invention Mid-Late Jurassic Early Creataceous Epoch Mo
Probabilistic forecasting figure；
Fig. 9 is the structural representation of the device determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability in the embodiment of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing,
The present invention is described in further details.Here, the exemplary embodiment of the present invention and explanation thereof are used for explaining this
Bright, but not as a limitation of the invention.
Inventor is after being found that in the past to the deficiency existing for the prediction favourable petroleum play of litho-stratigraphic trap, it is proposed that
A kind of technical scheme determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, the program from the most direct geological theory,
Determine that hydrocarbon source rock (S), high water cut (D), interface-potential (P) and regional cap rock (C) are lithologic character stratums
Hydrocarbon reservoiring and the control factor of distribution；Then by the control hydrocarbon characteristic of each Dominated Factors is analyzed, set up
Geological model is hidden in each single Dominated Factors control；Again by geological model, probability is hidden in the control calculating each single Dominated Factors；And then
By each Dominated Factors in the overlapping of main Pool-forming time, determine the Hydrocarbon Formation Reservoirs probability of main Pool-forming time litho-stratigraphic trap,
Reach the quantitative forecast of Hydrocarbon Formation Reservoirs probability in litho-stratigraphic trap eventually.In this process, be aided with typically conventional
Mathematical statistics method, reaches with geological theory for supporting, and advanced mathematical method is means, has it to become depositional trap
Hide probability and carry out quantitative forecast.With it, solve conventional quantification process imperfection, geological theory is not enough
Drawback, has accomplished that prediction has geologic basis, with a high credibility；Prediction has advanced technology, and accuracy is high；Prediction has brand-new
Thinking, strong innovation；The method required information is readily available simultaneously, simple, workable.Total comes
Saying, the method, after actual application verification, has the advantage that (1) geologic basis is abundant, with a high credibility；(2)
Technical characterstic is distinct, and accuracy is high；(3) thinking is completely clear, and innovation row is strong；(4) data is simple and easy to get, can
Strong operability.It is specifically described below.
Fig. 1 is the schematic flow sheet of the method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability in the embodiment of the present invention；As
Shown in Fig. 1, the method comprises the steps:
Step 101: according to litho-stratigraphic trap hydrocarbon reservoiring and the control hydrocarbon characteristic of the Dominated Factors of distribution and institute
Stating the related reservoir parameter of litho-stratigraphic trap oil-gas reservoir, geological model is hidden in the control setting up each Dominated Factors；Described
Dominated Factors includes: hydrocarbon source rock, high water cut, interface-potential and regional cap rock；Described control is hidden geological model and is included:
Hydrocarbon source rock control oil-gas geology model, rock physics phased oil-gas geology model, interface-potential control oil-gas geology model and district
Territory cap rock control oil-gas geology model；
Step 102: hide geological model according to the control of each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors；
Step 103: hide probability according to the control of all Dominated Factors, determine litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability；
Geological model is hidden in the above-mentioned control according to each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors, including:
According to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut；
Wherein, above-mentioned according to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut, including:
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility maximum is standardized as great achievement and hides probability；
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility minimum is standardized as minimum one-tenth and hides probability；
Maximum porosity according to litho-stratigraphic trap, minimal amount of porosity, great achievement are hidden probability and are become to hide probability with minimum,
Determine that probability is hidden in the control of high water cut.
Compared with prior art, the technical scheme that the embodiment of the present invention provides has the advantage that
First, the embodiment of the present invention dissection by Stratigraphic and subtle reservoirs a large amount of to this district, it is determined that hydrocarbon source rock, rock
Stone physics phase, interface-potential and regional cap rock are that Stratigraphic and subtle reservoirs is formed and the control factor of distribution；Then pass through
The control hydrocarbon characteristic of each Dominated Factors is analyzed, sets up each single Dominated Factors control and hide geological model；Pass through geology again
Model, probability is hidden in the control calculating each single Dominated Factors；And then by each Dominated Factors in the overlapping of main Pool-forming time, to master
The Hydrocarbon Formation Reservoirs probability of Pool-forming time litho-stratigraphic trap carries out quantitatively characterizing；
Secondly, high water cut is also carefully studied by the embodiment of the present invention, by by litho-stratigraphic trap oil-containing
Physical parameter value corresponding during gas maximum is standardized as great achievement and hides probability；By litho-stratigraphic trap oil-gas possibility
Hour corresponding physical parameter value is standardized as minimum becoming to hide probability；Then, probability, is hidden according to described great achievement
Little one-tenth hides probability, the maximum porosity of litho-stratigraphic trap and minimal amount of porosity, it is determined that the control of high water cut is hidden general
Rate, and then petrophysical one-tenth Tibetan probability is carried out quantitative sign.
By above-mentioned reasons, the technical scheme that the embodiment of the present invention provides is greatly reduced lithologic character stratum oil gas
Hide the risk of exploration, improve the accuracy of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probabilistic forecasting, specify lithologic character stratum oil
The exploration trend of gas reservoir, considerably improves the success rate of litho-stratigraphic trap oil gas drilling, and the method is at oily basin
Ground has wide applicability.
When being embodied as, hydrocarbon source rock can represent with S, high water cut can represent with D, interface-potential is permissible
Represent with P and can represent with C with regional cap rock.
The method of the determination litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability that the embodiment of the present invention provides, concrete flow process can be wrapped
Include following steps: first, by analyzing, determine hydrocarbon source rock (S), high water cut (D), interface-potential (P)
It is the control factor of litho-stratigraphic trap hydrocarbon reservoiring and distribution with regional cap rock (C)；Then by each master control
The control hydrocarbon characteristic of factor is analyzed, and sets up each single Dominated Factors control and hides geological model；Again by single Dominated Factors control
Hiding geological model, probability is hidden in the control calculating each single Dominated Factors；And then by each Dominated Factors in the overlapping of main Pool-forming time,
The Hydrocarbon Formation Reservoirs probability of main Pool-forming time litho-stratigraphic trap is carried out quantitatively characterizing.For litho-stratigraphic trap, should
Method has very wide applicability.Detailed step to detailed the method is introduced as follows below.
Before being determined litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, first, inventor is according to substantial amounts of experiment and reality
Border working experience, it is determined that Stratigraphic and subtle reservoirs formed with distribution Dominated Factors, and with each Dominated Factors phase
Close oil-gas reservoir data and parameter, be specifically described as follows:
What the embodiment of the present invention selected is hundred mouthfuls of spring groups of the Triassic system in area, western part of China Junggar Basin agate Hu Xi slope
Litho-stratigraphic trap, by the dissection of Stratigraphic and subtle reservoirs a large amount of to this district, it is determined that hydrocarbon source rock (S), rock thing
Reason phase (D), interface-potential (P) and regional cap rock (C) are that the master control that Stratigraphic and subtle reservoirs is formed with distribution is wanted
Element.Four Dominated Factors cover give birth to, store up, cover, enclose, transport, six aspects such as guarantor, can objective description, again can
Quantitatively characterizing.Only when hydrocarbon source rock (S), high water cut (D), interface-potential (P) and regional cap rock (C)
When occurring according to C, D, P, S order from top to bottom, the row of the Accumulation of Hydrocarbon in advantageous deposition section freight index future.Figure
Fig. 2 a, Fig. 2 b and Fig. 2 c are i.e. CDPS Dominated Factors combination pool-controlling models figures in the embodiment of the present invention, wherein,
Fig. 2 a is longitudinal sequential combination, and Fig. 2 b is plane superposition, and Fig. 2 c is prehistoric to combine simultaneously.
Then, obtain hydrocarbon source rock (S), high water cut (D), interface-potential (P) and regional cap rock (C) each master control because of
Element and related reservoir data and parameter.Wherein, relevant to hydrocarbon source rock (S) data and parameter have: hydrocarbon source, study area
Stove maximum row's hydrocarbon intensity, Zao Paiting center, hydrocarbon source, hydrocarbon source stove row's hydrocarbon boundary position；With high water cut (D) phase
Data and the parameter closed have: the porosity data of study area litho-stratigraphic trap oil-gas Layer；Relevant to interface-potential (P)
Data and parameter have: the porosity data of study area litho-stratigraphic trap reservoir；The money relevant to regional cap rock (C)
Material and parameter have: the thickness data of study area regional cap rock；The data relevant to oil-gas reservoir and parameter have: study area is bored
Meet core intersection and the oil/gas show thickness of Stratigraphic and subtle reservoirs prospect pit, bore the reservoir meeting Stratigraphic and subtle reservoirs prospect pit
Thickness.
Formed and the Dominated Factors of distribution determining Stratigraphic and subtle reservoirs, and oil gas relevant to each Dominated Factors
After Tibetan data and parameter, below the detailed process determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability is introduced as follows.
In above-mentioned steps 101, by the control hydrocarbon characteristic of each Dominated Factors is analyzed, set up each Dominated Factors
Control hide geological model, when being embodied as, above-mentioned control hide geological model may include that hydrocarbon source rock control oil-gas geology model,
Rock physics phased oil-gas geology model, interface-potential control oil-gas geology model and regional cap rock control oil-gas geology model.
Concrete modeling process can be: according to scale (oil in place), the distance hydrocarbon of the oil-gas reservoir having now been found that
Source rock Pai Ting center and row's distance on hydrocarbon border, the calculating of hydrocarbon source rock row's hydrocarbon intensity, establish hydrocarbon source rock control and hide probability meter
Calculate illustraton of model, as shown in Figure 3；According to the oil content of reservoir in current litho-stratigraphic trap reservoir and average pore
Distribution relation, establishes rock physics phased Tibetan geological model figure, as shown in Figure 4；According to current litho-stratigraphic trap
In reservoir, the oil content of reservoir and the distribution relation of interface-potential index, establish interface-potential control and hide geological model figure,
As shown in Figure 5；According to the distribution relation between thickness and the oil content of the regional cap rock of current Stratigraphic and subtle reservoirs,
Establish regional cap rock control and hide geological model figure, as shown in figure 6 a and 6b.
Below geological model is hidden in the control according to each Dominated Factors, determine that the detailed of probability is hidden in the control of each Dominated Factors
Step is introduced.
In an example, hide geological model according to the control of each Dominated Factors, determine that the control of each Dominated Factors is hidden general
Rate, may include that according to hydrocarbon source rock control oil-gas geology model, determines that probability is hidden in the control of hydrocarbon source rock；
Above-mentioned hydrocarbon source rock control oil-gas geology model can be:
Wherein, XSProbability is hidden in control for hydrocarbon source rock, and hydrocarbon source rock single factor test becomes to hide probability under controlling, dimensionless；L is
Standardized Hydrocarbon Formation Reservoirs district is to the distance at Pai Ting center, dimensionless；L is that standardized Hydrocarbon Formation Reservoirs district is to row hydrocarbon limit
The distance on boundary (oil-gas reservoir outside row hydrocarbon border, on the occasion of；Otherwise it is negative value), dimensionless；qeFor hydrocarbon source rock
Maximum row's hydrocarbon intensity, 106t/km2.
In an example, rock physics phased oil-gas geology model can be:
XD=XD1+(XD2-XD1)*(Φ-Φ1)/(Φ2-Φ1)；
Wherein, XDProbability is hidden in control for high water cut, and the one-tenth under high water cut single factor test controls hides probability, nothing
Dimension；XD1Minimum for calculating according to physical parameter value corresponding during oil-gas possibility minimum becomes hides probability, dimensionless,
XD1=0；XD2Great achievement for calculating according to physical parameter value corresponding during oil-gas possibility maximum hides probability, immeasurable
Guiding principle, XD2=1；Φ1For litho-stratigraphic trap takes fixed interval minimal amount of porosity, %；Φ2For in litho-stratigraphic trap
Take fixed interval maximum porosity, %；Φ is practical porosity in litho-stratigraphic trap, %.
When being embodied as, physical parameter value corresponding during oil-gas possibility maximum is standardized as into Tibetan probability XD2=1；
Physical parameter value corresponding during oil-gas possibility minimum is standardized as into Tibetan probability XD1=0, by oil-gas possibility between
Physics value between minimax gives corresponding one-tenth in proportion and hides probability XDValue.
When being embodied as, the physical parameter that the embodiment of the present invention is mentioned can be: porosity and permeability etc..
In an example, hide geological model according to the control of each Dominated Factors, determine that the control of each Dominated Factors is hidden general
Rate, may include that according to interface-potential control oil-gas geology model, determines that probability is hidden in the control of interface-potential；
According to interface-potential control oil-gas geology model, determine that probability is hidden in the control of interface-potential, may include that
According to poly-oil and gas reservoir minimal amount of porosity with the formula of change in depth, calculate target described in litho-stratigraphic trap deep
The poly-oil and gas reservoir minimal amount of porosity of degree；
According to poly-oil and gas reservoir maximum porosity with the formula of change in depth, calculate target described in litho-stratigraphic trap deep
The poly-oil and gas reservoir maximum porosity of degree；
According to the poly-oil and gas reservoir minimal amount of porosity of the reservoir porosity of target depth, target depth in litho-stratigraphic trap
And maximum porosity, set up interface-potential control oil-gas geology model, according to the interface-potential control oil-gas geology model set up,
Determine that probability is hidden in the control of interface-potential.
When being embodied as, lift a simply example, in order to understand that the above-mentioned control determining interface-potential of the present invention hides probability such as
What is implemented: select one group in acquired porosity and corresponding depth data, as (Φ x, h)；According to poly-oil gas
Reservoir lowest porosity, with the formula of change in depth, calculates the poly-oil and gas reservoir lowest porosity under corresponding degree of depth h
Φ b (minimal amount of porosity)；According to the possible maximum porosity of poly-oil and gas reservoir with the formula of change in depth, calculate corresponding
Poly-oil and gas reservoir under degree of depth h may maximum porosity Φ a.
In an example, above-mentioned interface-potential control oil-gas geology model can be:
Xp=1-(Φ x-Φ b)/(Φ a-Φ b)；
Wherein, Xp is that probability is hidden in the control of interface-potential, and the one-tenth under interface-potential single factor test controls hides probability, dimensionless；
Φ x is the reservoir porosity of target depth, % in litho-stratigraphic trap；Φ b is target depth in litho-stratigraphic trap
Poly-oil and gas reservoir minimal amount of porosity, %；Φ a is the poly-oil and gas reservoir maximum pore of target depth in litho-stratigraphic trap
Degree, %.
In an example, hide geological model according to control, determine that probability is hidden in the control of each Dominated Factors, may include that
According to regional cap rock control oil-gas geology model, determine that probability is hidden in the control of regional cap rock；
Regional cap rock control oil-gas geology model can be:
XC=XC1+(XC2-XC1)*(h-h1)/(h2-h1)；
Wherein, XCProbability is hidden in control for regional cap rock, and the one-tenth under regional cap rock single factor test controls hides probability, dimensionless；
XC1Minimum one-tenth for calculating according to reservoir thickness corresponding during oil-gas possibility minimum hides probability, dimensionless, XC1=0；
XC2Great achievement for calculating according to reservoir thickness corresponding during oil-gas possibility maximum hides probability, dimensionless, XC2=1；
h1For litho-stratigraphic trap regional cap rock takes fixed interval minimum depth of cover, m；h2For litho-stratigraphic trap region lid
Fixed interval maximum depth of cover, m is taken in Ceng；H is actual depth of cover, m in litho-stratigraphic trap regional cap rock.
Specifically main Pool-forming time rock can be determined by each Dominated Factors in the overlapping of main Pool-forming time in above-mentioned steps 103
The Hydrocarbon Formation Reservoirs probability of property stratigraphic trap.When being embodied as, litho-stratigraphic trap oil gas can be calculated according to equation below
Become and hide probability:
ICDPS=∑ ai*Xi；
Wherein, ICDPSFor litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, the one-tenth of main Pool-forming time litho-stratigraphic trap hides probability,
XiProbability is hidden in control for each Dominated Factors, and probability is hidden in the single Dominated Factors control of main Pool-forming time；aiFor weight coefficient；I is
Each Dominated Factors sequence number, takes regional cap rock (C), high water cut (D), interface-potential (P) and hydrocarbon source respectively
Rock (S).
Fig. 7 and Fig. 8 is that the hundred mouthfuls of spring group litho-stratigraphic trap in area, agate Hu Xi slope determined according to embodiments of the present invention exist
The prognostic chart of the Hydrocarbon Formation Reservoirs probability of main Pool-forming time.Period Triassic period end, it was predicted that hundred mouthfuls of spring groups are grown two and the most favorably become
Tibetan area band, is mainly distributed on agate 6 wellblock and the southeast, agate 18 wellblock side region, agate 13 wellblocks-agate 15 wellblocks-summer 72
Wellblock (Fig. 7)；Late Jurassic epoch-period in Early Creataceous Epoch, it was predicted that hundred mouthfuls of spring groups grow two petroleum play the most favourable, main
Agate 6 wellblock to be distributed in and region, southern side, agate 18 wellblock, agate 13 wellblocks-agate 15 wellblocks-summer 72 wellblock (Fig. 8)；
The embodiment of the present invention proposes a kind of method and device determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability first, should
The innovative point of method and device is mainly reflected in: 1, determine hydrocarbon source rock hydrocarbon source rock (S), high water cut (D),
Interface-potential (P) and regional cap rock (C) are to control Stratigraphic and subtle reservoirs to be formed and four big Dominated Factors of distribution；
2, establish single Dominated Factors control and hide geological model；3, propose single Dominated Factors control and hide method for calculating probability；4、
Establish the computational methods of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability.
The embodiment of the present invention can solve the problem that in current oil-gas exploration, and litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability quantitative assessment is difficult
Problem.Application in area, Ma Huxi slope shows: find 5 oil reservoirs, respectively hundred mouthfuls, agate 2 wellblock spring in group
Group oil reservoir, hundred mouthfuls, summer 72 wellblock spring group oil reservoir, hundred mouthfuls, agate 131 wellblock spring group oil reservoir, hundred mouthfuls, agate 6 wellblock spring group oil
Hide and hundred mouthfuls, agate 15 wellblock spring group oil reservoir.Wherein, hundred mouthfuls, summer 72 wellblock spring group oil reservoir, hundred mouthfuls, agate 131 wellblock spring group
Oil reservoir is all distributed in into the Tibetan probability region more than 0.75 with hundred mouthfuls, agate 15 wellblock spring group oil reservoir；Hundred mouthfuls, agate 6 wellblock spring
The overwhelming majority of group oil reservoir is distributed in into the Tibetan probability region more than 0.75, and other parts are positioned at into Tibetan probability more than 0.5
Region；Hundred mouthfuls, agate 2 wellblock spring group oil reservoir is all distributed in into the Tibetan probability region (Fig. 7 and Fig. 8) more than 0.75.
That is: hundred mouthfuls spring groups have been found that the oil reservoir of nearly 80% is all distributed in into the Tibetan probability region more than 0.75, the oil reservoir of 100%
All it is distributed in into the Tibetan probability region more than 0.5.The Triassic system hundred mouthfuls of spring groups totally 22 mouthfuls of prospect pits are met it addition, bore in statistics
Type, result shows, become hide probit >=0.5 prospect pit in, 61.5% is commercial oil well, and 30.8% is low
Oil-producing stream well, 7.7% is oil/gas show well；Becoming Tibetan probit in the prospect pit of 0.3-0.5,85.7% is oil/gas show
Well, 14.3% is failure well；Become hide probability≤0.3 prospect pit in, 100% for failure well (as shown in table 1 below, table
1 is that area, agate Hu Xi slope brill hundred mouthfuls of spring group litho-stratigraphic trap prospect pit wells of chance and accordingly do not control Tibetan probit).Total
From the point of view of, as hide probability the biggest time, the oil-gas possibility of target zone is the best, occur commercial oil well probability get over
Greatly.Thus may certify that, the Hydrocarbon Formation Reservoirs probability of application the inventive method prediction litho-stratigraphic trap is reliable
And feasible.
Table 1
Based on same inventive concept, the embodiment of the present invention additionally provides one and determines that litho-stratigraphic trap Hydrocarbon Formation Reservoirs is general
The device of rate, as described in the following examples.Owing to determining the device problem of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability
Principle is similar to the method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, it is thus determined that litho-stratigraphic trap Hydrocarbon Formation Reservoirs
The enforcement of the device of probability may refer to determine the enforcement of the method for litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, in place of repetition
Repeat no more.Used below, term " unit " or " module " can realize predetermined function software and/
Or the combination of hardware.Although the device described by following example preferably realizes with software, but hardware, or
The realization of the combination of software and hardware also may and be contemplated.
Fig. 9 is the structural representation of the device determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability in the embodiment of the present invention, as
Shown in Fig. 9, this device includes:
Single Dominated Factors control is hidden geological model and is set up module 10, is used for according to litho-stratigraphic trap hydrocarbon reservoiring and divides
The control hydrocarbon characteristic of the Dominated Factors of cloth and the related reservoir parameter of described litho-stratigraphic trap oil-gas reservoir, set up every
Geological model is hidden in the control of individual Dominated Factors；Described Dominated Factors includes: hydrocarbon source rock, high water cut, interface-potential and
Regional cap rock；Described control is hidden geological model and is included: hydrocarbon source rock control oil-gas geology model, the phased oil-gas geology of rock physics
Model, interface-potential control oil-gas geology model and regional cap rock control oil-gas geology model；
Probability determination module 20 is hidden in single Dominated Factors control, hides geological model for the control according to each Dominated Factors, really
Probability is hidden in the control of fixed each Dominated Factors；
Litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability determination module 30, hides probability for the control according to all Dominated Factors,
Determine litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability；
Above-mentioned litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability determination module 30 specifically for: according to the phased oil gas of rock physics
Geological model, determines that probability is hidden in the control of high water cut；
Wherein, above-mentioned according to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut, including:
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility maximum is standardized as great achievement and hides probability；
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility minimum is standardized as minimum one-tenth and hides probability；
Probability, minimum one-tenth Tibetan probability, the maximum porosity of litho-stratigraphic trap and minimum hole is hidden according to described great achievement
Degree, determines that probability is hidden in the control of high water cut.
In an example, single Dominated Factors control Tibetan probability determination module 20 specifically may be used for according to hydrocarbon source rock control oil
Gas geological model, determines that probability is hidden in the control of hydrocarbon source rock；
Hydrocarbon source rock control oil-gas geology model is:
Wherein, XSProbability is hidden in control for hydrocarbon source rock；L is the Hydrocarbon Formation Reservoirs district distance to Pai Ting center；L is oil gas
Become Tibetan area to the distance on row hydrocarbon border；qeMaximum row's hydrocarbon intensity for hydrocarbon source rock.
In an example, rock physics phased oil-gas geology model can be:
XD=XD1+(XD2-XD1)*(Φ-Φ1)/(Φ2-Φ1)；
Wherein, XDProbability is hidden in control for high water cut；XD1For according to physical property ginseng corresponding during oil-gas possibility minimum
The minimum one-tenth that numerical computations goes out hides probability, XD1=0；XD2For according to physical parameter value corresponding during oil-gas possibility maximum
The great achievement calculated hides probability, XD2=1；Φ1For litho-stratigraphic trap takes fixed interval minimal amount of porosity；Φ2For
Litho-stratigraphic trap takes fixed interval maximum porosity；Φ is practical porosity in litho-stratigraphic trap.
In an example, single Dominated Factors control Tibetan probability determination module 20 specifically can be also used for according to interface-potential
Control oil-gas geology model, determines that probability is hidden in the control of interface-potential；
According to interface-potential control oil-gas geology model, determine that probability is hidden in the control of interface-potential, may include that
According to poly-oil and gas reservoir minimal amount of porosity with the formula of change in depth, calculate target depth in litho-stratigraphic trap
Poly-oil and gas reservoir minimal amount of porosity；
According to poly-oil and gas reservoir maximum porosity with the formula of change in depth, calculate target depth in litho-stratigraphic trap
Poly-oil and gas reservoir maximum porosity；
According to the poly-oil and gas reservoir minimal amount of porosity of the reservoir porosity of target depth, target depth in litho-stratigraphic trap
And maximum porosity, set up interface-potential control oil-gas geology model, according to the interface-potential control oil-gas geology model set up,
Determine that probability is hidden in the control of interface-potential.
In an example, interface-potential control oil-gas geology model can be:
Xp=1-(Φ x-Φ b)/(Φ a-Φ b)；
Wherein, Xp is the control Tibetan probability of interface-potential；Φ x is the reservoir porosity of target depth in litho-stratigraphic trap；
Φ a is the poly-oil and gas reservoir maximum porosity of target depth in litho-stratigraphic trap；Φ b is target in litho-stratigraphic trap
The poly-oil and gas reservoir minimal amount of porosity of the degree of depth.
In an example, single Dominated Factors control Tibetan probability determination module 20 specifically can be also used for according to regional cap rock
Control oil-gas geology model, determines that probability is hidden in the control of regional cap rock；
Regional cap rock control oil-gas geology model can be:
XC=XC1+(XC2-XC1)*(h-h1)/(h2-h1)；
Wherein, XCProbability is hidden in control for regional cap rock；XC1For according to reservoir thickness meter corresponding during oil-gas possibility minimum
The minimum one-tenth calculated hides probability, XC1=0；XC2For calculate according to reservoir thickness corresponding during oil-gas possibility maximum
Great achievement hides probability, XC2=1；h1For litho-stratigraphic trap regional cap rock takes fixed interval minimum depth of cover；h2For
Litho-stratigraphic trap regional cap rock takes fixed interval maximum depth of cover；H is actual in litho-stratigraphic trap regional cap rock
Depth of cover.
In an example, can be according to equation below calculating litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability:
ICDPS=∑ ai*Xi；
Wherein, ICDPSFor litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, XiProbability is hidden in control for each Dominated Factors；ai
For weight coefficient；I is each Dominated Factors sequence number.
The embodiment of the present invention is just with study area hydrocarbon source rock maximum Hydrocarbon yield value, row hydrocarbon center and row's hydrocarbon boundary bit
Put data, litho-stratigraphic trap oil-gas Layer porosity data, litho-stratigraphic trap reservoir porosity data, the thickness of cap rock
The core intersection of degree data and brill chance Stratigraphic and subtle reservoirs prospect pit and reservoir thickness data these several are readily available
Data, it is possible to the size of the Hydrocarbon Formation Reservoirs probability of study area litho-stratigraphic trap is accurately obtained.With it,
Solve conventional quantification process imperfection, the drawback of geological theory deficiency, accomplished that prediction has geologic basis, credible
Degree height；Prediction has advanced technology, and accuracy is high；Prediction has brand-new thinking, strong innovation；And the method is the most sharp
With several item data being readily available, simple, workable.Generally speaking, the method is through actual application verification
After, have the advantage that (1) geologic basis is abundant, with a high credibility；(2) technical characterstic is distinct, and accuracy is high；
(3) thinking is completely clear, and innovation row is strong；(4) data is simple and easy to get, workable.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer journey
Sequence product.Therefore, the present invention can use complete hardware embodiment, complete software implementation or combine software and hardware
The form of the embodiment of aspect.And, the present invention can use and wherein include computer available programs one or more
The computer-usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.) of code
The form of the computer program of upper enforcement.
The present invention is with reference to method, equipment (system) and the stream of computer program according to embodiments of the present invention
Journey figure and/or block diagram describe.It should be understood that can be by computer program instructions flowchart and/or block diagram
Flow process in each flow process and/or square frame and flow chart and/or block diagram and/or the combination of square frame.These can be provided
Computer program instructions processes to general purpose computer, special-purpose computer, Embedded Processor or other programmable datas and sets
Standby processor is to produce a machine so that held by the processor of computer or other programmable data processing device
The instruction of row produces for realizing one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple side
The device of the function specified in frame.
These computer program instructions may be alternatively stored in and computer or other programmable data processing device can be guided with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in this computer-readable memory produces bag
Including the manufacture of command device, this command device realizes at one flow process of flow chart or multiple flow process and/or block diagram one
The function specified in individual square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device so that at meter
On calculation machine or other programmable devices, execution sequence of operations step is to produce computer implemented process, thus is calculating
The instruction performed on machine or other programmable devices provide for realizing in one flow process of flow chart or multiple flow process and/or
The step of the function specified in one square frame of block diagram or multiple square frame.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area
For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirit and principles in the present invention,
Any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.
Claims (12)
1. the method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, it is characterised in that including:
According to litho-stratigraphic trap hydrocarbon reservoiring and the control hydrocarbon characteristic of the Dominated Factors of distribution and described lithologic character stratum
The related reservoir parameter of enclosure of oil gas reservoir, geological model is hidden in the control setting up each Dominated Factors；Described Dominated Factors bag
Include: hydrocarbon source rock, high water cut, interface-potential and regional cap rock；Described control is hidden geological model and is included: hydrocarbon source rock control
Oil-gas geology model, rock physics phased oil-gas geology model, interface-potential control oil-gas geology model and regional cap rock control
Oil-gas geology model；
Geological model is hidden in control according to each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors；
Probability is hidden in control according to all Dominated Factors, determines described litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability；
Geological model is hidden in the described control according to each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors, including:
According to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut；
Wherein, described according to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut, including:
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility maximum is standardized as great achievement and hides probability；
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility minimum is standardized as minimum one-tenth and hides probability；
Maximum porosity according to litho-stratigraphic trap, minimal amount of porosity, described great achievement are hidden probability and are become to hide generally with minimum
Rate, determines that probability is hidden in the control of high water cut.
The method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 1, it is characterised in that
Described rock physics phased oil-gas geology model is:
XD=XD1+(XD2-XD1)*(Φ-Φ1)/(Φ2-Φ1)；
Wherein, XDProbability is hidden in control for high water cut；XD1For according to physical property ginseng corresponding during oil-gas possibility minimum
The minimum one-tenth that numerical computations goes out hides probability, XD1=0；XD2For according to physical parameter value corresponding during oil-gas possibility maximum
The great achievement calculated hides probability, XD2=1；Φ1For litho-stratigraphic trap takes fixed interval minimal amount of porosity；Φ2For
Litho-stratigraphic trap takes fixed interval maximum porosity；Φ is practical porosity in litho-stratigraphic trap.
The method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 1, it is characterised in that
Geological model is hidden in control according to each Dominated Factors, determines that probability is hidden in the control of each Dominated Factors, including: according to interface
Potential energy control oil-gas geology model, determines that probability is hidden in the control of interface-potential；
Described according to interface-potential control oil-gas geology model, determine that probability is hidden in the control of interface-potential, including:
According to poly-oil and gas reservoir minimal amount of porosity with the formula of change in depth, calculate target depth in litho-stratigraphic trap
Poly-oil and gas reservoir minimal amount of porosity；
According to poly-oil and gas reservoir maximum porosity with the formula of change in depth, calculate target depth in litho-stratigraphic trap
Poly-oil and gas reservoir maximum porosity；
Reservoir porosity according to target depth described in litho-stratigraphic trap, the poly-oil and gas reservoir minimum aperture of target depth
Porosity and maximum porosity, set up interface-potential control oil-gas geology model, according to the interface-potential control oil-gas geology set up
Model, determines that probability is hidden in the control of interface-potential.
The method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 3, it is characterised in that
Described interface-potential control oil-gas geology model is:
Xp=1-(Φ x-Φ b)/(Φ a-Φ b)；
Wherein, Xp is the control Tibetan probability of interface-potential；Φ x is the reservoir porosity of target depth in litho-stratigraphic trap；
Φ a is the poly-oil and gas reservoir maximum porosity of target depth in litho-stratigraphic trap；Φ b is target in litho-stratigraphic trap
The poly-oil and gas reservoir minimal amount of porosity of the degree of depth.
The method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 1, it is characterised in that
Hide geological model according to control, determine that probability is hidden in the control of each Dominated Factors, including: according to regional cap rock control oil-gas geology
Model, determines that probability is hidden in the control of regional cap rock；
Described regional cap rock control oil-gas geology model is:
XC=XC1+(XC2-XC1)*(h-h1)/(h2-h1)；
Wherein, XCProbability is hidden in control for regional cap rock；XC1For according to reservoir thickness meter corresponding during oil-gas possibility minimum
The minimum one-tenth calculated hides probability, XC1=0；XC2For calculate according to reservoir thickness corresponding during oil-gas possibility maximum
Great achievement hides probability, XC2=1；h1For litho-stratigraphic trap regional cap rock takes fixed interval minimum depth of cover；h2For
Litho-stratigraphic trap regional cap rock takes fixed interval maximum depth of cover；H is actual in litho-stratigraphic trap regional cap rock
Depth of cover.
The method determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 1, it is characterised in that
According to equation below calculating litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability:
ICDPS=∑ ai*Xi；
Wherein, ICDPSFor litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, XiProbability is hidden in control for each Dominated Factors；ai
For weight coefficient；I is each Dominated Factors sequence number.
7. the device determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, it is characterised in that including:
Single Dominated Factors control is hidden geological model and is set up module, for according to litho-stratigraphic trap hydrocarbon reservoiring and distribution
The control hydrocarbon characteristic of Dominated Factors and the related reservoir parameter of described litho-stratigraphic trap oil-gas reservoir, set up each master
Geological model is hidden in the control of control factor；Described Dominated Factors includes: hydrocarbon source rock, high water cut, interface-potential and region
Cap rock；Described control hide geological model include: hydrocarbon source rock control oil-gas geology model, rock physics phased oil-gas geology model,
Interface-potential control oil-gas geology model and regional cap rock control oil-gas geology model；
Probability determination module is hidden in single Dominated Factors control, hides geological model for the control according to each Dominated Factors, determines every
Probability is hidden in the control of individual Dominated Factors；
Litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability determination module, hides probability for the control according to all Dominated Factors, determines
Described litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability；
Described single Dominated Factors control hide probability determination module specifically for: according to rock physics phased oil-gas geology model,
Determine that probability is hidden in the control of high water cut；
Wherein, described according to rock physics phased oil-gas geology model, determine that probability is hidden in the control of high water cut, including:
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility maximum is standardized as great achievement and hides probability；
Physical parameter value corresponding during litho-stratigraphic trap oil-gas possibility minimum is standardized as minimum one-tenth and hides probability；
Probability, minimum one-tenth Tibetan probability, the maximum porosity of litho-stratigraphic trap and minimum hole is hidden according to described great achievement
Degree, determines that probability is hidden in the control of high water cut.
Determine the device of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 7, it is characterised in that
Described rock physics phased oil-gas geology model is:
XD=XD1+(XD2-XD1)*(Φ-Φ1)/(Φ2-Φ1)；
Wherein, XDProbability is hidden in control for high water cut；XD1For according to physical property ginseng corresponding during oil-gas possibility minimum
The minimum one-tenth that numerical computations goes out hides probability, XD1=0；XD2For according to physical parameter value corresponding during oil-gas possibility maximum
The great achievement calculated hides probability, XD2=1；Φ1For litho-stratigraphic trap takes fixed interval minimal amount of porosity；Φ2For
Litho-stratigraphic trap takes fixed interval maximum porosity；Φ is practical porosity in litho-stratigraphic trap.
Determine the device of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 7, it is characterised in that
Described single Dominated Factors control is hidden probability determination module and is additionally operable to, according to interface-potential control oil-gas geology model, determine interfacial potential
Probability is hidden in the control of energy；
Described according to interface-potential control oil-gas geology model, determine that probability is hidden in the control of interface-potential, including:
According to poly-oil and gas reservoir minimal amount of porosity with the formula of change in depth, calculate target described in litho-stratigraphic trap deep
The poly-oil and gas reservoir minimal amount of porosity of degree；
According to poly-oil and gas reservoir maximum porosity with the formula of change in depth, calculate target described in litho-stratigraphic trap deep
The poly-oil and gas reservoir maximum porosity of degree；
According to the poly-oil and gas reservoir minimal amount of porosity of the reservoir porosity of target depth, target depth in litho-stratigraphic trap
And maximum porosity, set up interface-potential control oil-gas geology model, according to the interface-potential control oil-gas geology model set up,
Determine that probability is hidden in the control of interface-potential.
Determine the device of litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability the most as claimed in claim 9, it is characterised in that
Described interface-potential control oil-gas geology model is:
Xp=1-(Φ x-Φ b)/(Φ a-Φ b)；
Wherein, Xp is the control Tibetan probability of interface-potential；Φ x is the reservoir porosity of target depth in litho-stratigraphic trap；
Φ a is the poly-oil and gas reservoir maximum porosity of target depth in litho-stratigraphic trap；Φ b is target in litho-stratigraphic trap
The poly-oil and gas reservoir minimal amount of porosity of the degree of depth.
11. devices determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability as claimed in claim 7, it is characterised in that institute
State single Dominated Factors control Tibetan probability determination module to be additionally operable to, according to regional cap rock control oil-gas geology model, determine regional cap rock
Control hide probability；
Described regional cap rock control oil-gas geology model is:
XC=XC1+(XC2-XC1)*(h-h1)/(h2-h1)；
Wherein, XCProbability is hidden in control for regional cap rock；XC1For according to reservoir thickness meter corresponding during oil-gas possibility minimum
The minimum one-tenth calculated hides probability, XC1=0；XC2For calculate according to reservoir thickness corresponding during oil-gas possibility maximum
Great achievement hides probability, XC2=1；h1For litho-stratigraphic trap regional cap rock takes fixed interval minimum depth of cover；h2For
Litho-stratigraphic trap regional cap rock takes fixed interval maximum depth of cover；H is actual in litho-stratigraphic trap regional cap rock
Depth of cover.
12. devices determining litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability as claimed in claim 7, it is characterised in that
According to equation below calculating litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability:
ICDPS=∑ ai*Xi；
Wherein, ICDPSFor litho-stratigraphic trap Hydrocarbon Formation Reservoirs probability, XiProbability is hidden in control for each Dominated Factors；ai
For weight coefficient；I is each Dominated Factors sequence number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610392392.XA CN106022946A (en) | 2016-06-06 | 2016-06-06 | Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610392392.XA CN106022946A (en) | 2016-06-06 | 2016-06-06 | Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106022946A true CN106022946A (en) | 2016-10-12 |
Family
ID=57090596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610392392.XA Pending CN106022946A (en) | 2016-06-06 | 2016-06-06 | Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106022946A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991279A (en) * | 2017-03-29 | 2017-07-28 | 中国石油大学(北京) | A kind of Tight Sandstone Reservoir Formation method of determining probability and device |
| CN107292435A (en) * | 2017-06-16 | 2017-10-24 | 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 | A kind of Fault-block trap evaluation method based on oil columns quantitative forecast |
| CN107657365A (en) * | 2017-09-08 | 2018-02-02 | 中国石油天然气股份有限公司 | Geological resource extraction value evaluation method and device |
| CN108446476A (en) * | 2018-03-14 | 2018-08-24 | 中国石油大学(北京) | A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool |
| CN109583672A (en) * | 2017-09-28 | 2019-04-05 | 中国石油化工股份有限公司 | Risk prospect pit exploration decision method and system |
| CN112360444A (en) * | 2020-10-16 | 2021-02-12 | 中国石油天然气股份有限公司 | Method and device for quantitative sorting processing of trap targets |
| CN112780267A (en) * | 2021-02-03 | 2021-05-11 | 中国石油大学(北京) | Method, device and equipment for determining accumulation possibility |
| CN113625359A (en) * | 2020-05-07 | 2021-11-09 | 中国石油化工股份有限公司 | Method and device for calculating oil and gas containing probability of tight sandstone lithologic trap |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103645516A (en) * | 2013-11-20 | 2014-03-19 | 中国石油大学(北京) | Method of determining oil and gas productivity based on oil and gas control effects of petrophysical facies |
-
2016
- 2016-06-06 CN CN201610392392.XA patent/CN106022946A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103645516A (en) * | 2013-11-20 | 2014-03-19 | 中国石油大学(北京) | Method of determining oil and gas productivity based on oil and gas control effects of petrophysical facies |
Non-Patent Citations (3)
| Title |
|---|
| 庞雄奇等: "叠合盆地油气藏形成、演化与预测评价", 《地质学报》 * |
| 李建华等: "岩性油气藏分布区定量预测新方法——以大民屯凹陷为例", 《石油勘探与开发》 * |
| 赖锦等: "基于岩石物理相的储集层孔隙结构分类评价——以鄂尔多斯盆地姬塬地区长8油层组为例", 《石油勘探与开发》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991279B (en) * | 2017-03-29 | 2019-11-12 | 中国石油大学(北京) | A kind of Tight Sandstone Reservoir Formation method of determining probability and device |
| CN106991279A (en) * | 2017-03-29 | 2017-07-28 | 中国石油大学(北京) | A kind of Tight Sandstone Reservoir Formation method of determining probability and device |
| CN107292435A (en) * | 2017-06-16 | 2017-10-24 | 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 | A kind of Fault-block trap evaluation method based on oil columns quantitative forecast |
| US11037084B2 (en) | 2017-09-08 | 2021-06-15 | Petrochina Company Limited | Method and apparatus for evaluating exploitation value of a geological resource |
| CN107657365B (en) * | 2017-09-08 | 2020-08-11 | 中国石油天然气股份有限公司 | Geological resource exploitation value evaluation method and device |
| CN107657365A (en) * | 2017-09-08 | 2018-02-02 | 中国石油天然气股份有限公司 | Geological resource extraction value evaluation method and device |
| CN109583672A (en) * | 2017-09-28 | 2019-04-05 | 中国石油化工股份有限公司 | Risk prospect pit exploration decision method and system |
| CN108446476A (en) * | 2018-03-14 | 2018-08-24 | 中国石油大学(北京) | A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool |
| CN113625359A (en) * | 2020-05-07 | 2021-11-09 | 中国石油化工股份有限公司 | Method and device for calculating oil and gas containing probability of tight sandstone lithologic trap |
| CN113625359B (en) * | 2020-05-07 | 2024-04-30 | 中国石油化工股份有限公司 | Method and device for calculating oil and gas containing probability of lithology trap of tight sandstone |
| CN112360444A (en) * | 2020-10-16 | 2021-02-12 | 中国石油天然气股份有限公司 | Method and device for quantitative sorting processing of trap targets |
| CN112360444B (en) * | 2020-10-16 | 2023-08-22 | 中国石油天然气股份有限公司 | Quantitative sorting processing method and device for trap targets |
| CN112780267A (en) * | 2021-02-03 | 2021-05-11 | 中国石油大学(北京) | Method, device and equipment for determining accumulation possibility |
| CN112780267B (en) * | 2021-02-03 | 2023-02-17 | 中国石油大学(北京) | Method, device and equipment for determining accumulation possibility |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106022946A (en) | Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability | |
| CN103645516B (en) | Based on the method for rock physics phased oil-gas reactivation determination oil-production capacity | |
| CN105652323B (en) | A kind of method for predicting reservoir | |
| CN101356537A (en) | Method, system and apparatus for real-time reservoir model updating using ensemble kalman filter | |
| CN104239743B (en) | The method and apparatus for determining lithologic reservoir forming probability | |
| CN105242307B (en) | Carbonate complex seismic reservoir porosity acquisition methods and device | |
| CN105888659A (en) | Method and device for determining lithologic oil-gas reservoir forming probability | |
| Jafarzadeh et al. | Identification of electrical and petrophysical rock types based on core and well logs: Utilizing the results to delineate prolific zones in deep water sandy packages from the Shah Deniz gas field in the south Caspian Sea basin | |
| Li et al. | Data integration in characterizing a fracture-cavity reservoir, Tahe oilfield, Tarim basin, China | |
| Yu et al. | Clastic hydrocarbon reservoir sedimentology | |
| CN105137483A (en) | Carbonate rock stratum hydrothermal reservoir space distribution predication method and system | |
| Li et al. | Reservoir architecture and fracture characterization of low-permeability sandstone reservoir: a case study of Biandong oilfield, Jinhu depression, northern Jiangsu Basin, China | |
| Aljuboori et al. | The impact of diagenesis precipitation on fracture permeability in naturally fractured carbonate reservoirs | |
| US11668855B2 (en) | Method and system for sedimentary pathway prediction using geological and seismic data | |
| Holubnyak et al. | Calculation of CO2 storage capacity for Arbuckle Group in Southern Kansas: Implications for a seismically active region | |
| CN102707315B (en) | Method for forecasting high-quality reservoir of carbonate oil-gas reservoirs by utilizing disorder parameter seismic attributes | |
| CN104834934B (en) | A kind of nucleome capture method for being used to identify reservoir fluid | |
| Zhang et al. | Sand-mudstone modeling of fluvial fan sedimentary facies: a case study of Shanxi Formation reservoir in Ordos Basin | |
| CN112379435B (en) | Method and device for describing phase-control karst type fracture-cavity aggregate | |
| Wallace | Use of 3-dimensional dynamic modeling of CO₂ injection for comparison to regional static capacity assessments of Miocene sandstone reservoirs in the Texas State Waters, Gulf of Mexico | |
| Wang et al. | A fracture modeling method for ultra-deep reservoirs based on geologic information fusion: an application to a low porosity sandstone reservoirs in X gas field of a basin in western China | |
| Dong et al. | An introduction—Carbonate geophysics | |
| Li et al. | Three-dimensional reservoir architecture modeling by geostatistical techniques in BD block, Jinhu depression, northern Jiangsu Basin, China | |
| Rolfs | Integrated geomechanical, geophysical, and geochemical analysis of the Bakken Formation, Elm Coulee field, Williston Basin, Montana | |
| Zhang et al. | Interpretable machine learning model for shear wave estimation in a carbonate reservoir using LightGBM and SHAP: a case study in the Amu Darya right bank |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161012 |
|
| RJ01 | Rejection of invention patent application after publication |