CN108446476A - A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool - Google Patents

A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool Download PDF

Info

Publication number
CN108446476A
CN108446476A CN201810208445.7A CN201810208445A CN108446476A CN 108446476 A CN108446476 A CN 108446476A CN 201810208445 A CN201810208445 A CN 201810208445A CN 108446476 A CN108446476 A CN 108446476A
Authority
CN
China
Prior art keywords
probability
hydrocarbon
control
fault block
oil
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
Application number
CN201810208445.7A
Other languages
Chinese (zh)
Inventor
庞雄奇
惠沙沙
王珂
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China University of Petroleum Beijing
Original Assignee
China University of Petroleum Beijing
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China University of Petroleum Beijing filed Critical China University of Petroleum Beijing
Priority to CN201810208445.7A priority Critical patent/CN108446476A/en
Publication of CN108446476A publication Critical patent/CN108446476A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Geometry (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Evolutionary Computation (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool, this method includes the Dominated Factors that the determining fault block oil and gas pool is formed and is distributed, the Dominated Factors include hydrocarbon source stove, phase, fracture belt and regional cap rock, and regional cap rock, phase, fracture belt and hydrocarbon source stove arrange from top to bottom in the longitudinal direction;According to hydrocarbon source stove control hydrocarbon characteristic, establish hydrocarbon source stove oil-control gas geological model, determine fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability;According to phased hydrocarbon characteristic, establish phased oil-gas geology model, determine fault block oil and gas pool phase single factor test control under at hide probability;According to fracture belt control hydrocarbon characteristic, establish fracture belt oil-control gas geological model, determine fault block oil and gas pool fracture belt single factor test control under at hide probability;According to regional cap rock control hydrocarbon characteristic, establish regional cap rock oil-control gas geological model, determine fault block oil and gas pool regional cap rock single factor test control under at hide probability;Determine the fault block oil and gas pool at hide probability.

Description

A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool
Technical field
The present invention relates to a kind of quantitative forecast fault block oil and gas pools into the method and apparatus for hiding probability, and it is fixed to belong to petroleum resources Measure electric powder prediction.
Background technology
With the continuous improvement of degree of prospecting and demand, " raw, storage, fortune, is enclosed, is protected lid " of classical petroleum geology proposition Equal reservoir forming factors can only play the role of qualitative analysis and logical deduction during solving the problems, such as, it is subjective be difficult hold, It is objectively not independent each other and can not quantitatively characterizing, the needs of oil gas Deepening Exploration cannot be met.
For this problem, there is scholar to propose " functional imperative " this concept general to solve quantitatively characterizing Hydrocarbon Accumulation The problem of rate.
Li Jianhua be equal to 2011《Petroleum finance》In deliver《Lithologic deposit distributed area quantitative forecast is new Method-is by taking the big people collect recess as an example》, four functional imperative that control lithologic deposit is formed and is distributed, i.e. hydrocarbon source are mentioned in literary Stove, interface-potential, sedimentary facies and regional cap rock.
Pang Xiongqi is equal to publication in 2015《Petroleum distribution thresholding is predicted with petroleum play》Hydrocarbon is illustrated in one book Source stove (S), geology phase (D), regional cap rock (C), palaeohigh (M), fracture belt (F) and the areas Di Shi (P) 6 big functional imperative difference Combination controls the conclusion of the formation and distribution of different type oil-gas reservoir.It is CDMS control structural deposits, CDPS controls respectively Lithologic deposit, CSMF control buried hill class oil-gas reservoir.
Although determining having reached its maturity at Tibetan probability theory for different type oil-gas reservoir by different function factor combination, But mainly pooled applications are in lithologic deposit and burial for this theory, for the fault block oil gas mainly controlled by fracture belt Hide there is no clearly provide answer by which kind functional imperative control.
High gradually treasure delivered equal to 2011 on fault-blcok oil-gas field《Dong- pu Depression Complex Fault Block Group key factor for biogas accumulation and Reservoir model》, proposed in literary, the Dominated Factors of Complex Fault Block Group Hydrocarbon Accumulation are:Fault Seal, migration path system and oil gas Hide Pool-forming time.
It was delivered on fault-blcok oil-gas field in 2010 in magnitude of being lost《Dongying Depression SHAHEJIE FORMATION fault block oil and gas pool Cheng Zangzhu Control factor analysis》, proposed in literary, the aggregation and distribution of Dongying Depression SHAHEJIE FORMATION fault block oil and gas pool are by hydrocarbon source rock, tomography, exception The control of the factors such as pressure and reservoir properties.
At this stage, both at home and abroad for the research of fault block oil and gas pool be still concentrated mainly on fracture belt control petroleum conduction and In terms of the qualitative analyses such as feature are hidden in the closure of fracture belt and control.Though there is scholar to divide for the Dominated Factors of fault block oil and gas pool Analysis, but be still to set about in terms of the accumulation feature that Dominated Factors influence fault block oil and gas pool, do not considered the control of Dominated Factors Hide probability.
Luo Qun be equal to 2005《Geology opinion is commented》In deliver《A kind of new method of effective tracking oil-gas migration track》, Section dominant migration pathway is proposed in text, and quantitative accordingly obtains the Hydrocarbons Accumulating Quantity of any one trap to be evaluated.The method The approach that oil gas is preferentially migrated is disclosed well, but only can not directly be broken by one factor of section dominant migration pathway Determine into Tibetan probability.
Therefore it provides a kind of quantitative forecast fault block oil and gas pool has become this field urgently at the method and apparatus for hiding probability The technical issues of need to solving.
Invention content
In order to solve above-mentioned disadvantage and deficiency, the purpose of the present invention is to provide a kind of quantitative forecast fault block oil and gas pools At the method for hiding probability.
The present invention also aims to provide a kind of device at Tibetan probability of quantitative forecast fault block oil and gas pool.
In order to achieve the above objectives, the present invention provides a kind of method at Tibetan probability of quantitative forecast fault block oil and gas pool, wherein This approach includes the following steps:
Determine that the fault block oil and gas pool forms the Dominated Factors with distribution, the Dominated Factors include hydrocarbon source stove (S), phase (D), Fracture belt (F) and regional cap rock (C), and regional cap rock, phase, fracture belt and hydrocarbon source stove arrange from top to bottom in the longitudinal direction;
According to hydrocarbon source stove control hydrocarbon characteristic, hydrocarbon source stove oil-control gas geological model is established, determines the fault block oil and gas pool in hydrocarbon source The control of stove single factor test it is lower at Tibetan probability;
According to phased hydrocarbon characteristic, phased oil-gas geology model is established, determines that the fault block oil and gas pool is controlled in phase single factor test Under at hide probability;
According to fracture belt control hydrocarbon characteristic, fracture belt oil-control gas geological model is established, determines that the fault block oil and gas pool is being broken With single factor test control it is lower at Tibetan probability;
According to regional cap rock control hydrocarbon characteristic, regional cap rock oil-control gas geological model is established, determines that the fault block oil and gas pool exists The control of regional cap rock single factor test it is lower at Tibetan probability;
To the fault block oil and gas pool under the control of hydrocarbon source stove single factor test at hide probability, it is general at hiding under the control of phase single factor test Rate, being overlapped at Tibetan probability at Tibetan probability and under the control of regional cap rock single factor test under the control of fracture belt single factor test, Determine the fault block oil and gas pool at hide probability.Wherein, the regional cap rock, phase, fracture belt and hydrocarbon source stove in the longitudinal direction from upper and It is lower arrangement this sequentially be most beneficial for Accumulation of Hydrocarbon arrange freight index future pattern.
Method according to the present invention, it is preferable that it is described according to hydrocarbon source stove control hydrocarbon characteristic, establish hydrocarbon source stove oil-control gas Geological model, determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability, including:
Using hydrocarbon potentiality method, row's hydrocarbon intensity q of hydrocarbon source stove is calculated by such as following formula 1e
In formula 1, qeFor row's hydrocarbon intensity of hydrocarbon source stove, unit 104t/km2;Z is buried depth, unit m;Z0To arrange hydrocarbon door Limit, unit m;Qe(Z) it is the Hydrocarbon yield of unit quality organic carbon, unit mg/g;ρ (Z) is hydrocarbon source rock density, unit g/ cm3;TOC is organic carbon percentage composition, unit %;H is hydrocarbon source rock depth, unit m;
Further according to row's hydrocarbon intensity of hydrocarbon source stove, the distance in Hydrocarbon Formation Reservoirs area to row's hydrocarbon center and Hydrocarbon Formation Reservoirs area to row's hydrocarbon The distance on boundary, according to such as following formula 2 determination hydrocarbon source stove at Tibetan probability;
In formula 2, XSFor stove single factor test control in hydrocarbon source in a certain range it is lower at Tibetan probability;L is standardized Hydrocarbon Formation Reservoirs The distance at area extremely row's hydrocarbon center, unit km;L is distance of the standardized Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary, unit km;qe For row's hydrocarbon intensity of hydrocarbon source stove, unit 106t/km2
Method according to the present invention, it is preferable that it is described according to phased hydrocarbon characteristic, establish phased oil-gas geology mould Type, determine the fault block oil and gas pool phase single factor test control under at hide probability, including:
Mutually characterize phased oil-gas reservoir with rock, parameter includes the porosity of reservoir, permeability, depth residing for reservoir with And reservoir thickness, it coordinates according to such as following formula 3 calculating rock and hides probability:
In formula 3, XDIt coordinates for rock and hides probability;XD1It is mutually minimum at Tibetan probability, X for rockD1=0;XD2It is mutually maximum for rock At Tibetan probability, XD2=1;φDTo take the practical porosity for determining section in fault block oil and gas pool;φD1For the areas fault block oil and gas pool Zhong Quding Between minimal amount of porosity;φD2To take the maximum porosity for determining section in fault block oil and gas pool;KDDetermine section to be taken in fault block oil and gas pool True permeability;KD1To take the minimum permeability for determining section in fault block oil and gas pool;KD2It is taken in fault block oil and gas pool and determines section most Big permeability;D is reservoir thickness, unit m;H is depth residing for reservoir, unit m.
Method according to the present invention, it is preferable that it is described according to fracture belt control hydrocarbon characteristic, establish fracture belt oil-control gas Geological model, determine the fault block oil and gas pool fracture belt single factor test control under at hide probability, including:
The Hydrocarbon Formation Reservoirs probability under the control of fracture belt single factor test is calculated according to such as following formula 4;
XF=0.991e-0.001855LFormula 4;
In formula 4, XFHydrocarbon Formation Reservoirs probability under being controlled for fracture belt single factor test;L is away from fracture relative position, unit m.
Method according to the present invention, it is preferable that it is described according to regional cap rock control hydrocarbon characteristic, establish regional cap rock control Oil-gas geology model, determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability, including:
According to the 5 zoning cap rock single factor test control of such as following formula it is lower at Tibetan probability;
In formula 5, Xc is under the control of regional cap rock single factor test into Tibetan probability;Yc is the thickness of regional cap rock, unit m.
Method according to the present invention, it is preferable that the described pair of fault block oil and gas pool is under the control of hydrocarbon source stove single factor test At hide probability, under the control of phase single factor test at hide probability, under the control of fracture belt single factor test at hiding probability and in region lid Layer single factor test control is lower to be overlapped at hiding probability, determine the fault block oil and gas pool at Tibetan probability, including:
Using weighted mean method, according to such as following formula 6 calculate the fault block oil and gas pool at hiding probability:
In formula 6,Be fault block oil and gas pool at hide probability;aiFor weight coefficient;XiBe simple function element at hide probability;i For functional imperative serial number, regional cap rock, rock phase, fracture belt and hydrocarbon source stove are taken respectively.
The present invention also provides a kind of quantitative forecast fault block oil and gas pools into the device for hiding probability, wherein the device includes:
The Dominated Factors determination unit of fault block oil and gas pool formation and distribution, for determining the fault block oil and gas pool formation and dividing The Dominated Factors of cloth, the Dominated Factors include hydrocarbon source stove, phase, fracture belt and regional cap rock, and regional cap rock, phase, fracture belt and Hydrocarbon source stove arranges from top to bottom in the longitudinal direction;
Single Dominated Factors control hides geological model and establishes unit, for forming the single master control with distribution according to fault block oil and gas pool Geological model is hidden in the control hydrocarbon characteristic of factor, the control for establishing each Dominated Factors;It includes the stove control of hydrocarbon source that geological model is hidden in the control Oil-gas geology model, phased oil-gas geology model, fracture belt oil-control gas geological model and regional cap rock oil-control gas geological model;
Single Dominated Factors, for hiding geological model according to the control of each Dominated Factors, determine every at probability determining unit is hidden A Dominated Factors at hide probability;
Fault block oil and gas pool is used for according to all list Dominated Factors in fault block oil and gas pool at probability determining unit is hidden into Tibetan probability Overlapping, determine fault block oil and gas pool at hide probability.
Device according to the present invention, it is preferable that list Dominated Factors control Tibetan geological model establishes unit and includes:
The control of hydrocarbon source stove it is lower at probability determining unit is hidden, be used to, according to hydrocarbon source stove control hydrocarbon characteristic, establish the stove control of hydrocarbon source Oil-gas geology model, determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability;
Under phase control at probability determining unit is hidden, for according to phased hydrocarbon characteristic, establish phased oil-gas geology model, Determine the fault block oil and gas pool phase single factor test control under at hide probability;
Fracture belt control it is lower at probability determining unit is hidden, be used to, according to fracture belt control hydrocarbon characteristic, establish fracture belt control Oil-gas geology model, determine the fault block oil and gas pool fracture belt single factor test control under at hide probability;
Regional cap rock control it is lower at probability determining unit is hidden, be used to, according to regional cap rock control hydrocarbon characteristic, establish region Cap rock oil-control gas geological model, determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability.
Device according to the present invention, it is preferable that specifically being used at Tibetan probability determining unit under the control of hydrocarbon source stove In in accordance with the following methods determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability:
Using hydrocarbon potentiality method, row's hydrocarbon intensity q of hydrocarbon source stove is calculated by such as following formula 1e
In formula 1, qeFor row's hydrocarbon intensity of hydrocarbon source stove, unit 104t/km2;Z is buried depth, unit m;Z0To arrange hydrocarbon door Limit, unit m;Qe(Z) it is the Hydrocarbon yield of unit quality organic carbon, unit mg/g;ρ (Z) is hydrocarbon source rock density, unit g/ cm3;TOC is organic carbon percentage composition, unit %;H is hydrocarbon source rock depth, unit m;
Further according to row's hydrocarbon intensity of hydrocarbon source stove, the distance in Hydrocarbon Formation Reservoirs area to row's hydrocarbon center and Hydrocarbon Formation Reservoirs area to row's hydrocarbon The distance on boundary, according to such as following formula 2 determination hydrocarbon source stove at Tibetan probability;
In formula 2, XSFor stove single factor test control in hydrocarbon source in a certain range it is lower at Tibetan probability;L is standardized Hydrocarbon Formation Reservoirs The distance at area extremely row's hydrocarbon center, unit km;L is distance of the standardized Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary, unit km;qe For row's hydrocarbon intensity of hydrocarbon source stove, unit 106t/km2
Device according to the present invention, it is preferable that be specifically used for pressing at Tibetan probability determining unit under the phase control Take following methods determine the fault block oil and gas pool picture single factor test control under at hide probability:
Mutually characterize phased oil-gas reservoir with rock, parameter includes the porosity of reservoir, permeability, depth residing for reservoir with And reservoir thickness, it coordinates according to such as following formula 3 calculating rock and hides probability:
In formula 3, XDIt coordinates for rock and hides probability;XD1It is mutually minimum at Tibetan probability, X for rockD1=0;XD2It is mutually maximum for rock At Tibetan probability, XD2=1;φDTo take the practical porosity for determining section in fault block oil and gas pool;φD1For the areas fault block oil and gas pool Zhong Quding Between minimal amount of porosity;φD2To take the maximum porosity for determining section in fault block oil and gas pool;KDDetermine section to be taken in fault block oil and gas pool True permeability;KD1To take the minimum permeability for determining section in fault block oil and gas pool;KD2It is taken in fault block oil and gas pool and determines section most Big permeability;D is reservoir thickness, unit m;H is depth residing for reservoir, unit m.
Device according to the present invention, it is preferable that specifically being used at Tibetan probability determining unit under the fracture belt control In determined according to following equation 4 the fault block oil and gas pool fracture belt single factor test control under at hide probability:
XF=0.991e-0.001855LFormula 4;
In formula 4, XFHydrocarbon Formation Reservoirs probability under being controlled for fracture belt single factor test;L is away from fracture relative position, unit m.
Device according to the present invention, it is preferable that specific at probability determining unit is hidden under the regional cap rock control For according to following equation 5 determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability:
In formula 5, Xc is under the control of regional cap rock single factor test into Tibetan probability;Yc is the thickness of regional cap rock, unit m.
Device according to the present invention, it is preferable that the fault block oil and gas pool is specifically used for pressing at probability determining unit is hidden According to following equation 6 determine the fault block oil and gas pool at hide probability:
In formula 6,Be fault block oil and gas pool at hide probability;aiFor weight coefficient;XiBe simple function element at hide probability;i For functional imperative serial number, regional cap rock, rock phase, fracture belt and hydrocarbon source stove are taken respectively.
Compared with prior art, quantitative forecast fault block oil and gas pool provided by the invention has at the method and device for hiding probability It has the advantage that:
First, different to the research of lithologic deposit, buried hill class Hydrocarbon Accumulation probability from previous spininess, the present invention is carried The method and device of confession has carried out quantitative forecast to fault block oil and gas pool at probability is hidden;
Secondly, method choice hydrocarbon provided by the present invention source stove (S), phase (D), fracture belt (F) and regional cap rock (C) are disconnected The Dominated Factors of block hydrocarbon reservoiring and distribution;Then it is analyzed and is counted by the control hydrocarbon characteristic to each Dominated Factors, Geological model is hidden in the control for establishing single Dominated Factors;Geological model is hidden by the control of each Dominated Factors again, obtains each single master control Under factor controlling at hide probability;It is general at hiding finally by fault block oil and gas pool is obtained at the overlapping for hiding probability to each single Dominated Factors Rate, to achieve the purpose that quantitative forecast fault block oil and gas pool at Tibetan probability;
In addition, method and device provided by the present invention has also carried out phased oil-gas reservoir more careful research, with rock Stone is phased phased to characterize, determined according to depth residing for the porosity of reservoir, permeability, reservoir and reservoir thickness it is phased at Hide probability;It is for statistical analysis to fracture belt oil-control gas reservoir, prospect pit accumulative units thickness production capacity and prospect pit are extremely broken distance Probability is hidden in the control that relationship is determined as fracture belt;
In conclusion method and device provided by the present invention is by folding fault block oil and gas pool Dominated Factors at probability is hidden Close, solve the disadvantage that in the prior art can not quantitative forecast fault block oil and gas pool at hide probability, reduce surveying for fault block oil and gas pool It probes danger, can be good at the exploration play for predicting fault block oil and gas pool, improve the success of fault block oil and gas pool oil gas drilling Rate.
Description of the drawings
The technological process at the method for hiding probability for the quantitative forecast fault block oil and gas pool that Fig. 1 is provided by the embodiment of the present invention Schematic diagram;
Fig. 2 is that CDFS Dominated Factors combine pool-controlling models figure in the embodiment of the present invention;
Fig. 3 is that probability calculation model schematic is hidden in hydrocarbon source rock control in the embodiment of the present invention;
Fig. 4 is the phased Tibetan geological model schematic diagram of rock in the embodiment of the present invention;
Fig. 5 is the phased Tibetan probability calculation model schematic of rock in the embodiment of the present invention;
Fig. 6 a are that probability calculation model schematic is hidden in fracture belt control in the embodiment of the present invention;
Fig. 6 b are that probability calculation model schematic is hidden in fracture belt control in the embodiment of the present invention;
Fig. 7 is that probability calculation model schematic is hidden in cap rock control in the embodiment of the present invention;
Fig. 8 is that probability is hidden in the control of fault block oil and gas pool under the Dong- pu Depression SHAHEJIE FORMATION Es3 determined according to the embodiment of the present invention Prognostic chart.
Specific implementation mode
In order to which technical characteristic, purpose and the advantageous effect to the present invention are more clearly understood, in conjunction in detail below Embodiment technical scheme of the present invention is carried out it is described further below, but should not be understood as to the present invention can practical range limit It is fixed.
The problem of method all can not carry out quantitative forecast to fault block oil and gas pool at Tibetan probability in view of the prior art, this hair The bright method for providing a kind of " functional imperative " overlapping, will be subjective it is difficult to hold, objectively each other independently and without standard measure The six big element of traditional geology of characterization is converted to independently of one another, can be with quantitatively characterizing fault block class Hydrocarbon Accumulation probability Four big Dominated Factors.Inventor determines hydrocarbon source stove, phase, fracture belt and region by dissecting a large amount of fault block class oil-gas reservoirs Cap rock is the Dominated Factors for controlling fault block class hydrocarbon reservoiring and distribution;Pass through the overlapping to this four big Dominated Factors at Tibetan probability The Dominated Factors of quantitative forecast fault block oil and gas pool.
It describes in detail below at the technical solution for hiding probability to the determination fault block oil and gas pool of the embodiment of the present invention.
The technological process at the method for hiding probability for the quantitative forecast fault block oil and gas pool that Fig. 1 is provided by the embodiment of the present invention Schematic diagram, as shown in Figure 1, this method comprises the following steps:
Step 101:It determines that hydrocarbon source stove, rock phase, fracture belt, regional cap rock are fault block oil and gas pool Dominated Factors, obtains oil Gas reservoir parameter;
Step 102:It is analyzed and is counted by the control hydrocarbon characteristic to each Dominated Factors, establish the control of each Dominated Factors Hide geological model;By geological model, and then determine single Dominated Factors at Tibetan probability;
Step 103:According to single control factor at hide probability overlapping, obtain fault block oil and gas pool at hide probability.
This method specifically includes following steps:
Determine that the fault block oil and gas pool forms the Dominated Factors with distribution, which includes hydrocarbon source stove, phase, fracture belt And regional cap rock, and regional cap rock, phase, fracture belt and hydrocarbon source stove arrange from top to bottom in the longitudinal direction;
According to hydrocarbon source stove control hydrocarbon characteristic, hydrocarbon source stove oil-control gas geological model is established, determines the fault block oil and gas pool in hydrocarbon source The control of stove single factor test it is lower at Tibetan probability;
According to phased hydrocarbon characteristic, phased oil-gas geology model is established, determines that the fault block oil and gas pool is controlled in phase single factor test Under at hide probability;
According to fracture belt control hydrocarbon characteristic, fracture belt oil-control gas geological model is established, determines that the fault block oil and gas pool is being broken With single factor test control it is lower at Tibetan probability;
According to regional cap rock control hydrocarbon characteristic, regional cap rock oil-control gas geological model is established, determines that the fault block oil and gas pool exists The control of regional cap rock single factor test it is lower at Tibetan probability;
To the fault block oil and gas pool under the control of hydrocarbon source stove single factor test at hide probability, it is general at hiding under the control of phase single factor test Rate, being overlapped at Tibetan probability at Tibetan probability and under the control of regional cap rock single factor test under the control of fracture belt single factor test, Determine the fault block oil and gas pool at hide probability.Wherein, CDFS Dominated Factors combination pool-controlling models figure such as Fig. 2 in the embodiment of the present invention It is shown.
Wherein, it is at principle based on the probability of Tibetan under the control of hydrocarbon source stove single factor test:Scale, range and the life of hydrocarbon source stove Oil extraction gas time control formation scale, distribution and the enrichment time of oil-gas reservoir.Its basic model is that oil-gas pool distribution exists Closer from the hydrocarbon source centers Zao Paiting in twice of row's hydrocarbon radius, Hydrocarbon Formation Reservoirs probability is bigger;Conversely, then being got at Tibetan probability It is small.Fig. 3 is hydrocarbon source stove control Tibetan probability calculation model schematic in present example.Therefore, described according to hydrocarbon source stove oil-control gas Feature establishes hydrocarbon source stove oil-control gas geological model, determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability, Including:
Using hydrocarbon potentiality method, row's hydrocarbon intensity q of hydrocarbon source stove is calculated by such as following formula 1e
In formula 1, qeFor row's hydrocarbon intensity of hydrocarbon source stove, unit 104t/km2;Z is buried depth, unit m;Z0To arrange hydrocarbon door Limit, unit m;Qe(Z) it is the Hydrocarbon yield of unit quality organic carbon, unit mg/g;ρ (Z) is hydrocarbon source rock density, unit g/ cm3;TOC is organic carbon percentage composition, unit %;H is hydrocarbon source rock depth, unit m;
Further according to row's hydrocarbon intensity of hydrocarbon source stove, the distance in Hydrocarbon Formation Reservoirs area to row's hydrocarbon center and Hydrocarbon Formation Reservoirs area to row's hydrocarbon The distance on boundary, according to such as following formula 2 determination hydrocarbon source stove at Tibetan probability;
In formula 2, XSFor stove single factor test control in hydrocarbon source in a certain range it is lower at Tibetan probability;L is standardized Hydrocarbon Formation Reservoirs The distance at area extremely row's hydrocarbon center, unit km;L is distance of the standardized Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary, unit km;qe For row's hydrocarbon intensity of hydrocarbon source stove, unit 106t/km2
Wherein, it is at principle based on the probability of Tibetan under the control of phase single factor test:Advantageous rock phase control sedimentary basin Favorable exploration object area, show microcosmic on particle diameter, porosity and permeability etc..It controls the basic of oil-gas reservoir aggregation Pattern is:Under ideal conditions, the median grain diameter of particle is bigger, and sorting is better, and textural maturity and compositional maturity are higher, more Be conducive to the aggregation of oil gas.Fig. 4 is the phased Tibetan geological model schematic diagram of rock in the embodiment of the present invention, and Fig. 5 is that the present invention is implemented The phased Tibetan probability calculation model schematic of rock in example.
Therefore, described that phased oil-gas geology model is established according to phased hydrocarbon characteristic, determine the fault block oil and gas pool mutually single Under factor controlling at hide probability, including:
Mutually characterize phased oil-gas reservoir with rock, parameter includes the porosity of reservoir, permeability, depth residing for reservoir with And reservoir thickness, it coordinates according to such as following formula 3 calculating rock and hides probability:
In formula 3, XDIt coordinates for rock and hides probability;XD1It is mutually minimum at Tibetan probability, X for rockD1=0;XD2It is mutually maximum for rock At Tibetan probability, XD2=1;φDTo take the practical porosity for determining section in fault block oil and gas pool;φD1For the areas fault block oil and gas pool Zhong Quding Between minimal amount of porosity;φD2To take the maximum porosity for determining section in fault block oil and gas pool;KDDetermine section to be taken in fault block oil and gas pool True permeability;KD1To take the minimum permeability for determining section in fault block oil and gas pool;KD2It is taken in fault block oil and gas pool and determines section most Big permeability;D is reservoir thickness, unit m;H is depth residing for reservoir, unit m.
Wherein, it is at principle based on the probability of Tibetan under the control of fracture belt single factor test:The fracture system of oil-gas bearing basin The formation and distribution of oil-gas reservoir are controlled, fracture not only directly controls the migration of oil gas, also improves the object of reservoir indirectly Property, control the aggregation of oil gas.It controls the basic model of oil-gas pool distribution:Close to the position of fracture belt, Hydrocarbon Formation Reservoirs Probability it is big, as far from fracture belt, Hydrocarbon Formation Reservoirs probability becomes smaller;Fig. 6 a and Fig. 6 b are that fracture belt control is hidden in the embodiment of the present invention Probability calculation model schematic.
Therefore, described according to fracture belt control hydrocarbon characteristic, fracture belt oil-control gas geological model is established, determines the fault block oil gas Ensconce the control of fracture belt single factor test it is lower at Tibetan probability, including:
The Hydrocarbon Formation Reservoirs probability under the control of fracture belt single factor test is calculated according to such as following formula 4;
XF=0.991e-0.001855LFormula 4;
In formula 4, XFHydrocarbon Formation Reservoirs probability under being controlled for fracture belt single factor test;L is away from fracture relative position, unit m.
Wherein, it is at principle based on the probability of Tibetan under the control of regional cap rock single factor test:Regional cap rock covers oil gas and makees Power is mainly controlled by factors such as the thickness of regional cap rock, the distribution of cap rock, turn-off and cap rock toughness;It is controlled The basic model of oil-gas pool distribution is:Thickness is not little also small, but the stronger regional cap rock of plastotype is most advantageous to Hydrocarbon Formation Reservoirs.Figure 7 hide probability calculation model schematic for cap rock control in the embodiment of the present invention.
Therefore, described according to regional cap rock control hydrocarbon characteristic, regional cap rock oil-control gas geological model is established, determines the fault block Oil-gas reservoir regional cap rock single factor test control under at hide probability, including:
According to the 5 zoning cap rock single factor test control of such as following formula it is lower at Tibetan probability;
In formula 5, Xc is under the control of regional cap rock single factor test into Tibetan probability;Yc is the thickness of regional cap rock, unit m.
The described pair of fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability, phase single factor test control under at Hide probability, being folded at Tibetan probability at Tibetan probability and under the control of regional cap rock single factor test under the control of fracture belt single factor test Close, determine the fault block oil and gas pool at hide probability, including:
Using weighted mean method, according to such as following formula 6 calculate the fault block oil and gas pool at hiding probability:
In formula 6,Be fault block oil and gas pool at hide probability;aiFor weight coefficient;XiBe simple function element at hide probability;i For functional imperative serial number, regional cap rock, rock phase, fracture belt and hydrocarbon source stove are taken respectively.
Below again with more specifically example to quantitative forecast fault block oil and gas pool provided by the present invention at hiding probability Method illustrates, in order to understand how to implement technical solution of the present invention.
In this example, with the investigation and prospecting of the fault block class oil-gas reservoir of Linqing Depression Dong- pu Depression in Bohai Bay Basin For illustrate.
Dong- pu Depression is that one of Bohai Bay Basin is multiple to structural unit.Its geographical location is across southwest in Shandong Province and Yu Dong North, in east northeast to spread, geotectonic position is in the middle part of North China Platform, belongs to a component part of Linqing Depression.Recess The narrow south in north is wide (16-60km), a length of 140km in north and south, area 5300km.Dong- pu Depression overview shows as that " two low-lying areas are one grand One slope, one faulted-stage ", be recessed interior mature fault, with NNE, NE based on, it has been found that Trap Typesof, with anticline, disconnected nose, fault block are It is main.Structure development, tomography is more, and fault block is complicated, based on the fault block oil and gas pool of tectonic setting control.It is more set oil-bearing series, a variety of Oil-gas Accumulation Types overlap in flakes, constitute compound oil gas field.
Fig. 8 is that probability is hidden in the control of fault block oil and gas pool under the Dong- pu Depression SHAHEJIE FORMATION Es3 determined according to the embodiment of the present invention Prognostic chart.4 Favorable Zones are developed in the case where probabilistic forecasting SHAHEJIE FORMATION Es3 is hidden in Dong- pu Depression fault block oil and gas pool control, it is respectively literary Bright stockaded village-Liu Tun-Pucheng area, Qing Zuji-Hu shape collection area, bridge mouth area, Ma Chang-Chang Xingji-Xu collect area, at Tibetan probability It is all higher than 0.5;Wherein:Liu Tun-Mazhai area, celebrating ancestral collect area and are more than 0.7 at probability is hidden;Wenmingzhai-Gu converges area, Hu shape Collection area, bridge mouth area etc. are all higher than 0.6 at Tibetan probability;The ground such as city collection, are practised at Wen Liu-Xu Zhen collection area in the cities Pu-Hubusai area Area is more than 0.5 at probability is hidden.
Since Dong- pu Depression prospect pit deployment is very more, counts unrealistic one by one, be with Ma Zhai-Hubuzai-Pucheng area now Example verifies the embodiment of the present invention.Select the reason in this area:First, the exploration targets layer position in these areas is under sand three; Second is that range is big, since the eastern areas Pu are east northeast to the one long and narrow multiple to structural unit of spread, selected area span is from northwest To the southeast, the embodiment of the present invention can be preferably verified.Wherein, Ma Zhai -16 mouthfuls of prospect pits in Hubuzai-Pucheng area well not and phase It is as shown in table 1 that Tibetan probability numbers should be controlled, from table 1 it follows that in selected regional 16 mouthfuls of prospect pits, at the spy for hiding general rate≤0.5 In well, 100% prospect pit oil-containing.Wherein at the prospect pit for hiding Gai Shuai≤0.65,81.8% is commercial oil well, 18.2% For oil/gas show well.As a whole, when bigger as Tibetan probability, reservoir oil-gas possibility is better, the general of commercial hydrocarbon flow well occurs Rate is bigger.It can be seen that method provided by the present invention can predict the exploration play of fault block oil and gas pool well, in turn The success rate of fault block oil and gas pool oil gas drilling can be improved.
Table 1
Based on same inventive concept, the embodiment of the present invention additionally provide a kind of quantitative forecast fault block oil and gas pool at hiding probability Device, as described in the following examples.Due to the original of quantitative forecast fault block oil and gas pool solved the problems, such as at the device for hiding probability Reason is similar at the method for probability is hidden to quantitative forecast fault block oil and gas pool, therefore the implementation of the device may refer to quantitative forecast and break The implementation at the method for hiding probability of block oil-gas reservoir, overlaps will not be repeated.It is used below, term " unit " or The combination of the software and/or hardware of predetermined function may be implemented in " module ".Although device is preferably described in following embodiment It is realized with software, but the realization of the combination of hardware or software and hardware is also that may and be contemplated.The present invention is implemented Example provide quantitative forecast fault block oil and gas pool at hide probability device include:
The Dominated Factors determination unit of fault block oil and gas pool formation and distribution, for determining the fault block oil and gas pool formation and dividing The Dominated Factors of cloth, the Dominated Factors include hydrocarbon source stove, phase, fracture belt and regional cap rock, and regional cap rock, phase, fracture belt and Hydrocarbon source stove arranges from top to bottom in the longitudinal direction;
Single Dominated Factors control hides geological model and establishes unit, for forming the single master control with distribution according to fault block oil and gas pool Geological model is hidden in the control hydrocarbon characteristic of factor, the control for establishing each Dominated Factors;It includes the stove control of hydrocarbon source that geological model is hidden in the control Oil-gas geology model, phased oil-gas geology model, fracture belt oil-control gas geological model and regional cap rock oil-control gas geological model;
Single Dominated Factors, for hiding geological model according to the control of each Dominated Factors, determine every at probability determining unit is hidden A Dominated Factors at hide probability;
Fault block oil and gas pool is used for according to all list Dominated Factors in fault block oil and gas pool at probability determining unit is hidden into Tibetan probability Overlapping, determine fault block oil and gas pool at hide probability;
Wherein, single Dominated Factors control, which hides geological model and establishes unit, includes:
The control of hydrocarbon source stove it is lower at probability determining unit is hidden, be used to, according to hydrocarbon source stove control hydrocarbon characteristic, establish the stove control of hydrocarbon source Oil-gas geology model, determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability;
Under phase control at probability determining unit is hidden, for according to phased hydrocarbon characteristic, establish phased oil-gas geology model, Determine the fault block oil and gas pool phase single factor test control under at hide probability;
Fracture belt control it is lower at probability determining unit is hidden, be used to, according to fracture belt control hydrocarbon characteristic, establish fracture belt control Oil-gas geology model, determine the fault block oil and gas pool fracture belt single factor test control under at hide probability;
Regional cap rock control it is lower at probability determining unit is hidden, be used to, according to regional cap rock control hydrocarbon characteristic, establish region Cap rock oil-control gas geological model, determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability.
In one embodiment, it is specifically used in accordance with the following methods at Tibetan probability determining unit under the control of hydrocarbon source stove Determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability:
Using hydrocarbon potentiality method, row's hydrocarbon intensity q of hydrocarbon source stove is calculated by such as following formula 1e
In formula 1, qeFor row's hydrocarbon intensity of hydrocarbon source stove, unit 104t/km2;Z is buried depth, unit m;Z0To arrange hydrocarbon door Limit, unit m;Qe(Z) it is the Hydrocarbon yield of unit quality organic carbon, unit mg/g;ρ (Z) is hydrocarbon source rock density, unit g/ cm3;TOC is organic carbon percentage composition, unit %;H is hydrocarbon source rock depth, unit m;
Further according to row's hydrocarbon intensity of hydrocarbon source stove, the distance in Hydrocarbon Formation Reservoirs area to row's hydrocarbon center and Hydrocarbon Formation Reservoirs area to row's hydrocarbon The distance on boundary, according to such as following formula 2 determination hydrocarbon source stove at Tibetan probability;
In formula 2, XSFor stove single factor test control in hydrocarbon source in a certain range it is lower at Tibetan probability;L is standardized Hydrocarbon Formation Reservoirs The distance at area extremely row's hydrocarbon center, unit km;L is distance of the standardized Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary, unit km;qe For row's hydrocarbon intensity of hydrocarbon source stove, unit 106t/km2
In one embodiment, it is specifically used for determining in accordance with the following methods at Tibetan probability determining unit under the phase control The fault block oil and gas pool phase single factor test control under at hide probability:
Mutually characterize phased oil-gas reservoir with rock, parameter includes the porosity of reservoir, permeability, depth residing for reservoir with And reservoir thickness, it coordinates according to such as following formula 3 calculating rock and hides probability:
In formula 3, XDIt coordinates for rock and hides probability;XD1It is mutually minimum at Tibetan probability, X for rockD1=0;XD2It is mutually maximum for rock At Tibetan probability, XD2=1;φDTo take the practical porosity for determining section in fault block oil and gas pool;φD1For the areas fault block oil and gas pool Zhong Quding Between minimal amount of porosity;φD2To take the maximum porosity for determining section in fault block oil and gas pool;KDDetermine section to be taken in fault block oil and gas pool True permeability;KD1To take the minimum permeability for determining section in fault block oil and gas pool;KD2It is taken in fault block oil and gas pool and determines section most Big permeability;D is reservoir thickness, unit m;H is depth residing for reservoir, unit m.
In one embodiment, it is specifically used for according to following formula at Tibetan probability determining unit under the fracture belt control 4 determine the fault block oil and gas pools under the control of fracture belt single factor test at hiding probability:
XF=0.991e-0.001855LFormula 4;
In formula 4, XFHydrocarbon Formation Reservoirs probability under being controlled for fracture belt single factor test;L is away from fracture relative position, unit m.
In one embodiment, it is specifically used for according to following public affairs at Tibetan probability determining unit under the regional cap rock control Formula 5 determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability:
In formula 5, Xc is under the control of regional cap rock single factor test into Tibetan probability;Yc is the thickness of regional cap rock, unit m.
In one embodiment, the fault block oil and gas pool is specifically used for true according to following equation 6 at Tibetan probability determining unit The fixed fault block oil and gas pool at hiding probability:
In formula 6,Be fault block oil and gas pool at hide probability;aiFor weight coefficient;XiBe simple function element at hide probability;i For functional imperative serial number, regional cap rock, rock phase, fracture belt and hydrocarbon source stove are taken respectively.
In another embodiment, a kind of software is additionally provided, the software is for executing above-described embodiment and preferred reality Apply the technical solution described in mode.
In another embodiment, a kind of storage medium is additionally provided, above-mentioned software is stored in the storage medium, it should Storage medium includes but not limited to:CD, floppy disk, hard disk, scratch pad memory etc..
Obviously, those skilled in the art should be understood that each module of the above-mentioned embodiment of the present invention or each step can be with It is realized with general computing device, they can be concentrated on a single computing device, or be distributed in multiple computing devices On the network formed, optionally, they can be realized with the program code that computing device can perform, it is thus possible to by it Store and be performed by computing device in the storage device, and in some cases, can be to be held different from sequence herein The shown or described step of row, either they are fabricated to each integrated circuit modules or will be multiple in them Module or step are fabricated to single integrated circuit module to realize.In this way, the embodiment of the present invention be not limited to it is any specific hard Part and software combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirits and principles of the present invention, made by Any modification, equivalent substitution, improvement and etc. should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of method at Tibetan probability of quantitative forecast fault block oil and gas pool, which is characterized in that this approach includes the following steps:
Determine that the fault block oil and gas pool forms the Dominated Factors with distribution, which includes hydrocarbon source stove, phase, fracture belt and area Domain cap rock, and regional cap rock, phase, fracture belt and hydrocarbon source stove arrange from top to bottom in the longitudinal direction;
According to hydrocarbon source stove control hydrocarbon characteristic, hydrocarbon source stove oil-control gas geological model is established, determines the fault block oil and gas pool in hydrocarbon source stove list Under factor controlling at hide probability;
According to phased hydrocarbon characteristic, phased oil-gas geology model is established, determines the fault block oil and gas pool under the control of phase single factor test At Tibetan probability;
According to fracture belt control hydrocarbon characteristic, fracture belt oil-control gas geological model is established, determines the fault block oil and gas pool in fracture belt list Under factor controlling at hide probability;
According to regional cap rock control hydrocarbon characteristic, regional cap rock oil-control gas geological model is established, determines the fault block oil and gas pool in region The control of cap rock single factor test it is lower at Tibetan probability;
To the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability, phase single factor test control under at hide probability, Being overlapped at Tibetan probability at Tibetan probability and under the control of regional cap rock single factor test under the control of fracture belt single factor test, determines The fault block oil and gas pool at hide probability.
2. according to the method described in claim 1, it is characterized in that, described according to hydrocarbon source stove control hydrocarbon characteristic, hydrocarbon source stove is established Oil-control gas geological model, determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability, including:
Using hydrocarbon potentiality method, row's hydrocarbon intensity q of hydrocarbon source stove is calculated by such as following formula 1e
In formula 1, qeFor row's hydrocarbon intensity of hydrocarbon source stove, unit 104t/km2;Z is buried depth, unit m;Z0To arrange hydrocarbon thresholding, unit For m;Qe(Z) it is the Hydrocarbon yield of unit quality organic carbon, unit mg/g;ρ (Z) is hydrocarbon source rock density, unit g/cm3;TOC For organic carbon percentage composition, unit %;H is hydrocarbon source rock depth, unit m;
Further according to row's hydrocarbon intensity of hydrocarbon source stove, the distance in Hydrocarbon Formation Reservoirs area to row's hydrocarbon center and Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary Distance, according to such as following formula 2 determine hydrocarbon source stove at hiding probability;
In formula 2, XSFor stove single factor test control in hydrocarbon source in a certain range it is lower at Tibetan probability;L is that standardized Hydrocarbon Formation Reservoirs area is extremely arranged The distance at hydrocarbon center, unit km;L is distance of the standardized Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary, unit km;qeFor hydrocarbon source Row's hydrocarbon intensity of stove, unit 106t/km2
3. according to the method described in claim 1, it is characterized in that, described according to phased hydrocarbon characteristic, with establishing phased oil gas Matter model, determine the fault block oil and gas pool phase single factor test control under at hide probability, including:
Mutually phased oil-gas reservoir is characterized with rock, and parameter includes the porosity of reservoir, permeability, depth and storage residing for reservoir Layer thickness coordinates according to such as following formula 3 calculating rock and hides probability:
In formula 3, XDIt coordinates for rock and hides probability;XD1It is mutually minimum at Tibetan probability, X for rockD1=0;XD2For rock, mutually most great achievement is hidden Probability, XD2=1;φDTo take the practical porosity for determining section in fault block oil and gas pool;φD1Determine section to be taken in fault block oil and gas pool Minimal amount of porosity;φD2To take the maximum porosity for determining section in fault block oil and gas pool;KDTo take the reality for determining section in fault block oil and gas pool Border permeability;KD1To take the minimum permeability for determining section in fault block oil and gas pool;KD2The maximum for determining section is taken to ooze in fault block oil and gas pool Saturating rate;D is reservoir thickness, unit m;H is depth residing for reservoir, unit m.
4. according to the method described in claim 1, it is characterized in that, described according to fracture belt control hydrocarbon characteristic, fracture belt is established Oil-control gas geological model, determine the fault block oil and gas pool fracture belt single factor test control under at hide probability, including:
The Hydrocarbon Formation Reservoirs probability under the control of fracture belt single factor test is calculated according to such as following formula 4;
XF=0.991e-0.001855LFormula 4;
In formula 4, XFHydrocarbon Formation Reservoirs probability under being controlled for fracture belt single factor test;L is away from fracture relative position, unit m.
5. according to the method described in claim 1, it is characterized in that, described according to regional cap rock control hydrocarbon characteristic, region is established Cap rock oil-control gas geological model, determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability, including:
According to the 5 zoning cap rock single factor test control of such as following formula it is lower at Tibetan probability;
In formula 5, Xc is under the control of regional cap rock single factor test into Tibetan probability;Yc is the thickness of regional cap rock, unit m.
6. according to the method described in claim 1, it is characterized in that, the described pair of fault block oil and gas pool is controlled in hydrocarbon source stove single factor test Under at hide probability, under the control of phase single factor test at hide probability, under the control of fracture belt single factor test at hiding probability and in area Cap rock single factor test control in domain is lower to be overlapped at hiding probability, determine the fault block oil and gas pool at Tibetan probability, including:
Using weighted mean method, according to such as following formula 6 calculate the fault block oil and gas pool at hiding probability:
In formula 6,Be fault block oil and gas pool at hide probability;aiFor weight coefficient;XiBe simple function element at hide probability;I is work( Energy element serial number, takes regional cap rock, rock phase, fracture belt and hydrocarbon source stove respectively.
7. a kind of quantitative forecast fault block oil and gas pool at the device for hiding probability, which is characterized in that the device includes:
Fault block oil and gas pool forms the Dominated Factors determination unit with distribution, for determining that the fault block oil and gas pool is formed and distribution Dominated Factors, the Dominated Factors include hydrocarbon source stove, phase, fracture belt and regional cap rock, and regional cap rock, phase, fracture belt and hydrocarbon source Stove arranges from top to bottom in the longitudinal direction;
Single Dominated Factors control hides geological model and establishes unit, for forming the single Dominated Factors with distribution according to fault block oil and gas pool Control hydrocarbon characteristic, establish each Dominated Factors control hide geological model;It includes hydrocarbon source stove oil-control gas that geological model is hidden in the control Geological model, phased oil-gas geology model, fracture belt oil-control gas geological model and regional cap rock oil-control gas geological model;
Single Dominated Factors, for hiding geological model according to the control of each Dominated Factors, determine each main at probability determining unit is hidden Control factor at hide probability;
Fault block oil and gas pool is at probability determining unit is hidden, for according to all list Dominated Factors folding at Tibetan probability in fault block oil and gas pool Close, determine fault block oil and gas pool at hide probability.
8. device according to claim 7, which is characterized in that the list Dominated Factors control hides geological model and establishes unit packet It includes:
The control of hydrocarbon source stove it is lower at probability determining unit is hidden, be used to, according to hydrocarbon source stove control hydrocarbon characteristic, establish hydrocarbon source stove oil-control gas Geological model, determine the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability;
Being determined at Tibetan probability determining unit for according to phased hydrocarbon characteristic, establishing phased oil-gas geology model under phase control The fault block oil and gas pool phase single factor test control under at hide probability;
Fracture belt control it is lower at probability determining unit is hidden, be used to, according to fracture belt control hydrocarbon characteristic, establish fracture belt oil-control gas Geological model, determine the fault block oil and gas pool fracture belt single factor test control under at hide probability;
Regional cap rock control it is lower at probability determining unit is hidden, be used to, according to regional cap rock control hydrocarbon characteristic, establish regional cap rock Oil-control gas geological model, determine the fault block oil and gas pool regional cap rock single factor test control under at hide probability;
Preferably, described disconnected specifically for being determined according to following equation 4 at probability determining unit is hidden under the fracture belt control Block oil-gas reservoir fracture belt single factor test control under at hide probability:
XF=0.991e-0.001855LFormula 4;
In formula 4, XFHydrocarbon Formation Reservoirs probability under being controlled for fracture belt single factor test;L is away from fracture relative position, unit m;
It is further preferred that being specifically used for determining institute according to following equation 5 at Tibetan probability determining unit under the regional cap rock control State fault block oil and gas pool regional cap rock single factor test control under at hide probability:
In formula 5, Xc is under the control of regional cap rock single factor test into Tibetan probability;Yc is the thickness of regional cap rock, unit m;
It is further preferred that the fault block oil and gas pool is specifically used for determining the fault block according to following equation 6 at probability determining unit is hidden Oil-gas reservoir at hide probability:
In formula 6,Be fault block oil and gas pool at hide probability;aiFor weight coefficient;XiBe simple function element at hide probability;I is work( Energy element serial number, takes regional cap rock, rock phase, fracture belt and hydrocarbon source stove respectively.
9. device according to claim 8, which is characterized in that having at Tibetan probability determining unit under the control of hydrocarbon source stove Body be used for determine in accordance with the following methods the fault block oil and gas pool hydrocarbon source stove single factor test control under at hide probability:
Using hydrocarbon potentiality method, row's hydrocarbon intensity q of hydrocarbon source stove is calculated by such as following formula 1e
In formula 1, qeFor row's hydrocarbon intensity of hydrocarbon source stove, unit 104t/km2;Z is buried depth, unit m;Z0To arrange hydrocarbon thresholding, unit For m;Qe(Z) it is the Hydrocarbon yield of unit quality organic carbon, unit mg/g;ρ (Z) is hydrocarbon source rock density, unit g/cm3;TOC For organic carbon percentage composition, unit %;H is hydrocarbon source rock depth, unit m;
Further according to row's hydrocarbon intensity of hydrocarbon source stove, the distance in Hydrocarbon Formation Reservoirs area to row's hydrocarbon center and Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary Distance, according to such as following formula 2 determine hydrocarbon source stove at hiding probability;
In formula 2, XSFor stove single factor test control in hydrocarbon source in a certain range it is lower at Tibetan probability;L is that standardized Hydrocarbon Formation Reservoirs area is extremely arranged The distance at hydrocarbon center, unit km;L is distance of the standardized Hydrocarbon Formation Reservoirs area to row's hydrocarbon boundary, unit km;qeFor hydrocarbon source Row's hydrocarbon intensity of stove, unit 106t/km2
10. device according to claim 8, which is characterized in that specific at probability determining unit is hidden under the phase control For determine in accordance with the following methods the fault block oil and gas pool phase single factor test control under at hide probability:
Mutually phased oil-gas reservoir is characterized with rock, and parameter includes the porosity of reservoir, permeability, depth and storage residing for reservoir Layer thickness coordinates according to such as following formula 3 calculating rock and hides probability:
In formula 3, XDIt coordinates for rock and hides probability;XD1It is mutually minimum at Tibetan probability, X for rockD1=0;XD2For rock, mutually most great achievement is hidden Probability, XD2=1;φDTo take the practical porosity for determining section in fault block oil and gas pool;φD1Determine section to be taken in fault block oil and gas pool Minimal amount of porosity;φD2To take the maximum porosity for determining section in fault block oil and gas pool;KDTo take the reality for determining section in fault block oil and gas pool Border permeability;KD1To take the minimum permeability for determining section in fault block oil and gas pool;KD2The maximum for determining section is taken to ooze in fault block oil and gas pool Saturating rate;D is reservoir thickness, unit m;H is depth residing for reservoir, unit m.
CN201810208445.7A 2018-03-14 2018-03-14 A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool Pending CN108446476A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810208445.7A CN108446476A (en) 2018-03-14 2018-03-14 A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810208445.7A CN108446476A (en) 2018-03-14 2018-03-14 A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool

Publications (1)

Publication Number Publication Date
CN108446476A true CN108446476A (en) 2018-08-24

Family

ID=63194301

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810208445.7A Pending CN108446476A (en) 2018-03-14 2018-03-14 A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool

Country Status (1)

Country Link
CN (1) CN108446476A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112065370A (en) * 2020-09-04 2020-12-11 中国石油大学(北京) Method and device for evaluating oil-gas-containing property of broken block trap
CN112780267A (en) * 2021-02-03 2021-05-11 中国石油大学(北京) Method, device and equipment for determining accumulation possibility
CN113756795A (en) * 2021-08-31 2021-12-07 中国石油大学(北京) Oil gas dessert identification method, device, equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130110483A1 (en) * 2011-10-31 2013-05-02 Nikita V. Chugunov Method for measurement screening under reservoir uncertainty
US20130312638A1 (en) * 2010-11-17 2013-11-28 President And Fellows Of Harvard College Systems, devices and methods for the fabrication of polymeric fibers
CN103487842A (en) * 2013-09-26 2014-01-01 中国石油大学(北京) Method and device for determining oil and gas accumulation period of complex superimposed basin
CN104074512A (en) * 2013-03-26 2014-10-01 中国石油大学(北京) Method for measuring accumulation probability of oil-gas anticlinal reservoir
CN104234707A (en) * 2014-08-26 2014-12-24 中国石油大学(北京) Method and device for determining accumulation probability of buried hill oil-gas reservoir
CN105445799A (en) * 2015-11-13 2016-03-30 中国石油天然气股份有限公司 Reservoir control principal element superimposed exploration target determining method and reservoir control principal element superimposed exploration target determining device
CN106022946A (en) * 2016-06-06 2016-10-12 中国石油大学(北京) Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130312638A1 (en) * 2010-11-17 2013-11-28 President And Fellows Of Harvard College Systems, devices and methods for the fabrication of polymeric fibers
US20130110483A1 (en) * 2011-10-31 2013-05-02 Nikita V. Chugunov Method for measurement screening under reservoir uncertainty
CN104074512A (en) * 2013-03-26 2014-10-01 中国石油大学(北京) Method for measuring accumulation probability of oil-gas anticlinal reservoir
CN103487842A (en) * 2013-09-26 2014-01-01 中国石油大学(北京) Method and device for determining oil and gas accumulation period of complex superimposed basin
CN104234707A (en) * 2014-08-26 2014-12-24 中国石油大学(北京) Method and device for determining accumulation probability of buried hill oil-gas reservoir
CN105445799A (en) * 2015-11-13 2016-03-30 中国石油天然气股份有限公司 Reservoir control principal element superimposed exploration target determining method and reservoir control principal element superimposed exploration target determining device
CN106022946A (en) * 2016-06-06 2016-10-12 中国石油大学(北京) Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
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》 *
李明刚 等: ""乌尔逊-贝尔凹陷油气成藏主控因素分析"", 《大庆石油地质与开发》 *
董月霞 等: ""渤海湾盆地南堡凹陷油气成藏区带定量预测与评价"", 《石油学报》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112065370A (en) * 2020-09-04 2020-12-11 中国石油大学(北京) Method and device for evaluating oil-gas-containing property of broken block trap
CN112065370B (en) * 2020-09-04 2022-05-17 中国石油大学(北京) Method and device for evaluating oil-gas-containing property of broken block trap
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
CN113756795A (en) * 2021-08-31 2021-12-07 中国石油大学(北京) Oil gas dessert identification method, device, equipment and storage medium
CN113756795B (en) * 2021-08-31 2022-12-13 中国石油大学(北京) Oil gas dessert identification method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
Guo The Fuling Shale Gas Field—A highly productive Silurian gas shale with high thermal maturity and complex evolution history, southeastern Sichuan Basin, China
Zhu et al. Key factors of marine shale conductivity in southern China—Part II: The influence of pore system and the development direction of shale gas saturation models
CN110441813A (en) A kind of prediction technique of the distribution of lacustrine facies high quality source rock
Qi et al. Geostatistical three-dimensional modeling of oolite shoals, St. Louis Limestone, southwest Kansas
CN103529474A (en) Method for realizing accurate description lithofacies by using lithology subdivision
Xianzheng et al. Typical geological characteristics and exploration practices of lacustrine shale oil: A case study of the Kong-2 member strata of the Cangdong Sag in the Bohai Bay Basin
Wang et al. Characteristics and accumulation mechanism of quasi-layered Ordovician carbonate reservoirs in the Tazhong area, Tarim Basin
Zecheng et al. Exploring the potential of oil and gas resources in Sichuan Basin with Super Basin Thinking
CN108446476A (en) A kind of method and apparatus at Tibetan probability of quantitative forecast fault block oil and gas pool
Wang et al. Quantitative evaluation of transport efficiency of fault-reservoir composite migration pathway systems in carbonate petroliferous basins
Qian et al. Diagenesis and controlling factors of Oligocene Huagang Formation tight sandstone reservoir in the south of Xihu sag, the East China Sea Shelf Basin
Zeng et al. Multilevel source-to-sink (S2S) subdivision and application of an ancient uplift system in South China Sea: Implications for further hydrocarbon exploration
Luo et al. Petroleum migration and accumulation: Modeling and applications
Hanson Organic geochemistry and petroleum geology, tectonics and basin analysis of southern Tarim and northern Qaidam basins, northwest China
Yu et al. Examining and applying the theory of “exploring petroleum inside source kitchens” for continental shale oil: A case study from the Kong 2 member of the Cangdong sag in the Bohai Bay Basin, China
Lan et al. Investigation of the enrichment and accumulation of normal pressure shale gas in Anchang syncline outside of Sichuan Basin
Chen et al. Reservoir characteristics and light hydrocarbon channeling revealed by production data: A case study of liquid rich Duvernay shale play with emphasis in Fox Creek area, Alberta Canada
CN112282751B (en) Geological engineering three-dimensional coupling compact oil gas horizontal well exploitation detection method
Wu et al. Geological characteristics and controlling factors of enrichment of deep shale gas in the East Weiyuan–North Rongchang Area, Sichuan Basin, China
Zhang et al. Paleogene lake deep water sedimentary facies in the northern zone of the Chezhen Sag, Bohai Bay Basin, China
Chai et al. Lithofacies Types and Reservoir Characteristics of Mountain Shale in Wufeng Formation-Member 1 of Longmaxi Formation in the Complex Structural Area of Northern Yunnan–Guizhou
Zou et al. Analysis of fault characteristics and oil and gas enrichment differences in the No. 2 structural belt, Nanpu Sag, Bohai Bay Basin, East China
Li et al. Analysis on the Main Controlling Factors of Oil Accumulation in Putaohua Reservoir of long12 Block in Daqing Longhupao Oilfield
Yan et al. Differences in Hydrocarbon Accumulation and Controlling Factors of Slope Belt in Graben Basin: A Case Study of Pinghu Slope Belt in the Xihu Sag of the East China Sea Shelf Basin (ECSSB)
Li et al. Classification and Formation Mechanism of Buried Hill in BeiEr Sag of Hailaer Basin

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180824

RJ01 Rejection of invention patent application after publication