CN102645678B - Lower limit computation method for reservoir forming physical property of effective reservoir layer under restraint of reservoir forming power and pore structure - Google Patents
Lower limit computation method for reservoir forming physical property of effective reservoir layer under restraint of reservoir forming power and pore structure Download PDFInfo
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- CN102645678B CN102645678B CN201210138378.9A CN201210138378A CN102645678B CN 102645678 B CN102645678 B CN 102645678B CN 201210138378 A CN201210138378 A CN 201210138378A CN 102645678 B CN102645678 B CN 102645678B
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Abstract
The invention relates to a lower limit method for the reservoir forming physical property of an effective reservoir layer under the restraint of reservoir forming power and pore structure, comprising the following step of: on the basis of building a function relationship between the tension force of an oil-water interface and the temperature of a stratum system, building a function relationship between the semidiameter and the permeability of a maximum through hole throat of a reservoir layer, and building a function relationship between K/phi and K of the reservoir layer under the restraint of hole throat structure type, computing the reservoir forming physical property lower limit of the effective reservoir layer under the restraint of the reservoir forming power and the pore structure under different stratum temperature conditions. The research result of the method is combined with the research result of the physical property recovery and the reservoir forming power recovery of the reservoir layer in the geological historical period, so that the effectiveness of the reservoir layer in the geological historical period can be evaluated, and the oil gas distribution law in the reservoir forming period can be analyzed, therefore, the method has an important meaning for guiding the oil-gas exploration and deployment.
Description
Technical field
The present invention relates to oil and gas exploration and development field, particularly a kind of Tibetan power that is specified to becomes the method for Tibetan physical property lower limit with the Effective Reservoirs under pore texture constraint.
Background technology
Effective Reservoirs become to be hidden physical property lower limit and is referred to Hydrocarbon Formation Reservoirs period, at certain one-tenth, hides under power and profit character condition, can seepage flow and preserve minimum permeability and the factor of porosity that the reservoir of oil gas has.Effective Reservoirs becomes to hide physical property lower limit and is mainly become the factors such as Tibetan power, fluid properties, reservoir quality, stratum Temperature-pressure Conditions to affect.As the increase that becomes to hide power, oil density, reduced viscosity, the factors such as reservoir secondary pores content minimizing, all can make Effective Reservoirs become to hide physical property lower limit and reduce; Reservoir pore throat textural difference, causes same Effective Reservoirs to become to hide permeability limits corresponding different Effective Reservoirs under different pore throat structure reservoir conditions and becomes to hide porosity cutoff.Effective Reservoirs becomes Tibetan physical property lower limit research to recover with earth history reservoir properties in period and becomes to hide power recovery achievement in research to combine, can evaluate earth history effective reservoir in period, be parsed into Tibetan oil-gas distribution in period, for instructing oil-gas exploration to dispose, have great importance.But Effective Reservoirs physical property lower limit research is at present mainly to ask for Effective Reservoirs extraction physical property lower limit, for Effective Reservoirs, becomes to hide physical property lower limit and have no achievement in research report.Therefore, need the Effective Reservoirs of reasonable to become to hide physical property Method of Calculating Lower Limit, for becoming Tibetan oil-gas distribution in period research to lay the foundation.
Summary of the invention
The object of the present invention is to provide a kind of lower method that becomes Tibetan physical property lower limit of Tibetan power and pore texture constraint of asking for into.
Technical scheme of the present invention is: for wetting state, show as hydrophilic rock, capillary force Pc is into and hides resistance, and when only having into Tibetan power and being large enough to overcome hollow billet resistance, oil gas just likely enters reservoir and forms hydrocarbon-bearing pool.Petroclastic rock hollow billet resistance Pc (Pc=2 δ cos θ/r
0, Pc-capillary force/Mpa, r
0-largest connected pore throat radius/μ m, δ-oil water interfacial tension/N/m, θ-profit to the moisten contact angle of rock/°) depend primarily on the size of petroclastic rock pore throat, pore throat is less, hollow billet resistance is larger.According to the large I of capillary pressure (or critical one-tenth is hidden power) of become hiding power and equal under the critical conditions of hollow billet resistance, try to achieve the largest connected pore throat radius of its corresponding reservoir, its computing formula is:
r
0=2δcosθ／P
f (1)
Wherein: P
f-critical one-tenth is hidden power/Mpa.
Formula (1) is becoming to hide in the computation process of needed largest connected pore throat radius lower limit to reservoir hydrocarbons, and critical one-tenth is hidden power P
fbeing given constraint condition, is the independent variable in computing formula.Petroclastic rock is formed in water body mostly, and its particle surface mostly is hydrophilic, and oil-water under reservoir condition-rock wetting angle is generally 30 °.
Danesh (2000) research thinks that oil water interfacial tension (δ) is affected by profit density difference and stratum system temperature mainly, and its general expression is:
δ=111(ρ
w-ρ
h)
1.024(T／T
c)
-1.25 (2)
Wherein, δ-oil water interfacial tension, unit is mN/m,
ρ
wthe density of-water, unit is g/cm
3,
ρ
hthe density of-hydrocarbon phase, unit is g/cm
3,
T-system temperature, unit is K,
T
cthe critical temperature of-hydrocarbon phase, unit is K.
Wherein, the density p of water
wand the density p of hydrocarbon phase
hbe the function about temperature and pressure, can adopt following state equation to describe (Luo and Vasseur, 1996):
ρ=ρ
oe
-α(T-To)+β(P-Po) (3)
Wherein, the thermal expansivity of α-flow body;
The compressibility coefficient of β-fluid;
T
o, P
o-reference temperature and pressure;
ρ
othe density of-fluid under reference temperature and pressure.
According to formula (3), under the condition of given system temperature and system pressure, calculate the density p of water
wdensity p with hydrocarbon phase
hdensity difference, obtain table 1 and table 2:
Under the condition of the different system temperatures of table 1 and system pressure, the density difference of hydrocarbon phase and water changes
*-value is explained state army (2008) oil reservoir by oneself and is become to hide process simulation experimental study, and #-is given system temperature and system pressure
The density difference result of calculation of hydrocarbon phase and water under the condition of the different system temperatures of table 2 and system pressure
As can be seen from Table 2, when system temperature is identical, under different system pressure conditions, the variation of the density difference of water and hydrocarbon phase is extremely small, and maximum is no more than 0.13kg/m
3; And system pressure is when identical, under different system temperature conditions, the altering a great deal of the density difference of water and hydrocarbon phase, average out to 10.8mN/m.Can think thus, the density extent of water and hydrocarbon phase is subject to the impact of system pressure condition negligible, and is mainly controlled by the variation of system temperature T, be one about the function of system temperature T.Therefore, aggregative formula (2) and formula (3) are known, oil water interfacial tension δ be one about the function of system temperature T, can obtain by concrete study area oil water interfacial tension δ and stratum system temperature T fitting function:
δ=f(T) (4)
The complexity of oil gas diafiltration in reservoir is mainly that the perviousness by rock is determined, therefore, it is the key index that can reservoir become to hide that Effective Reservoirs becomes to hide permeability limits.By study area, press the analysis of mercury sample data to learn, have good power function relation (Fig. 1) between rock permeability and largest connected pore throat radius, its relational expression is:
K=A×r
0 B，R
2=0.881 (5)
Wherein: A, B-constant K-permeability/10
-3μ m
2; r
0-largest connected pore throat radius/μ m.
In addition,, in the situation that other factors are identical, because reservoir pore throat structure is different, same Effective Reservoirs becomes to hide permeability limits corresponding a plurality of Effective Reservoirs under different pore throat structure reservoir conditions and becomes to hide porosity cutoff.Therefore, becoming to hide power becomes the calculating of Tibetan physical property lower limit to be divided into following five steps (Fig. 2) with the Effective Reservoirs under pore throat structural constraint:
1) utilize oil water interfacial tension test data under condition of different temperatures, set up the funtcional relationship of oil water interfacial tension and formation temperature, calculate oil water interfacial tension under condition of different temperatures.
2), according to becoming to hide power and formation temperature achievement in research, utilize formula (1) to calculate Effective Reservoirs under Different Strata temperature, different accumulation dynamics and become to hide largest connected pore throat radius lower limit.
3) utilize the funtcional relationship of pressing mercury data to set up the largest connected pore throat radius of reservoir and permeability, calculate Effective Reservoirs under Different Strata temperature, different accumulation dynamics and become to hide permeability cutoff.
4) utilize and press mercury data, according to replacement pressure (P
d), capillary pressure intermediate value (P
50) etc. parameter carry out pore throat textural classification; On the basis of reservoir pore throat textural classification, simulate respectively the funtcional relationship between different pore throat structure type reservoir K/ Φ and K, and determine corresponding K and the K/ Φ interval range of each pore throat structure type reservoir.
5) by step 3) Effective Reservoirs becomes to hide the functional relation of permeability limits each pore throat structure type reservoir K/ Φ of substitution and K at the Different Strata temperature of trying to achieve, different accumulation dynamics, and calculate respectively the Effective Reservoirs that different pore throat structure type reservoirs are corresponding and become Tibetan PLL.
Beneficial effect of the present invention is: the present invention sets up in the funtcional relationship of oil water interfacial tension and stratum system temperature, the largest connected pore throat radius of reservoir is set up with the funtcional relationship of permeability and the constraint of pore throat structure type under on the basis set up of reservoir K/ Φ and K funtcional relationship, calculated under Different Strata temperature conditions and become Tibetan power to become Tibetan physical property lower limit (Fig. 3) with Effective Reservoirs under pore throat structural constraint.Achievement in research of the present invention is recovered with earth history reservoir properties in period and becomes to hide power recovery achievement in research to combine, can evaluate earth history effective reservoir in period, be parsed into Tibetan oil-gas distribution in period, for instructing oil-gas exploration to dispose, have great importance.
Accompanying drawing explanation
Fig. 1 is somewhere petroclastic rock permeability and largest connected pore throat radius correlationship figure
Fig. 2 is into and hides power and become to hide physical property lower limit computing technique process flow diagram with Effective Reservoirs under pore throat structural constraint
Fig. 3 is that at 50 ℃ of somewhere system temperatures, Effective Reservoirs becomes to hide physical property lower limit result
Fig. 4 is the matching relation of somewhere oil water interfacial tension δ and system temperature T
Fig. 5 is that somewhere pore texture classification transitivity is related to fitted figure
Fig. 6 becomes to hide permeability limits and becomes Tibetan porosity cutoff plate at 50 ℃ of somewhere system temperatures
Embodiment
With Shengli Oil Field somewhere, become to hide the concrete technical scheme that example illustrates this invention that is calculated as that power becomes to hide physical property lower limit with Effective Reservoirs under pore throat structural constraint:
1) utilize the matching relation (Fig. 4) of somewhere oil water interfacial tension δ and formation temperature T, calculating depth of burial be 1000m, formation temperature while being about 50 ℃ (be 15 ℃ according to surface temperature, underground temperature gradient is that 3.5 ℃/100m calculates gained) oil water interfacial tension be 22.6mN/m.
2) utilize formula (1) to calculate Effective Reservoirs and become to hide largest connected pore throat radius lower limit: any critical one-tenth is hidden to power Pf, substitution profit is 30 ° and step 1 to the moisten contact angle θ of rock) in formation temperature be 50 ℃ of corresponding interfacial tension 22.6mN/m of condition, try to achieve formation temperature and be under 50 ℃ of conditions each critical one-tenth and hide the corresponding Effective Reservoirs of power and become to hide largest connected pore throat radius lower limit (table 3).
3) utilizing formula (5) to calculate Effective Reservoirs becomes to hide permeability cutoff: by step 2) gained Effective Reservoirs becomes to hide the substitution of largest connected pore throat radius lower limit rock permeability and largest connected pore throat radius conversion formula (5) now, and obtain formation temperature and be under 50 ℃ of conditions each critical one-tenth and hide the corresponding Effective Reservoirs of power and become Tibetan permeability cutoff.
4) utilize and press mercury data, according to replacement pressure (P
d), capillary pressure intermediate value (P
50) etc. parameter pore throat structure is divided into 6 classes; On the basis of reservoir pore throat textural classification, the funtcional relationship of having distinguished matching between different pore throat structure type reservoir K/ Φ and K, and determined K and the K/ Φ interval range (Fig. 4, table 4) that each pore throat structure type reservoir is corresponding.By step 3) gained Effective Reservoirs become to hide each pore throat structure type physical property conversion formula in permeability limits substitution Fig. 4, calculate respectively the Effective Reservoirs that 6 class pore throat structure type reservoirs are corresponding and become to hide PLL, and the Effective Reservoirs of getting in each pore throat structure type reservoir permeability interval range of table 4 becomes Tibetan PLL to become to hide PLL (Fig. 5) as this pore throat structure type reservoir corresponding Effective Reservoirs under each critical accumulation dynamics.
When table 3 system temperature is 50 °, become to hide power and under pore throat structural constraint, become to hide the calculating of physical property lower limit
Permeability range corresponding to the different pore throat structure types in table 4 somewhere
| Pore throat structure type | Permeability range/10 -3μm 2 | K/ Φ scope |
| I A | >228 | >14.64 |
| I B | 2.92-304 | 0.218-18.077 |
| IIA | 0.1-50.48 | 0.0123-2.723 |
| IIB | 0.0289-2.486 | 0.0056-0.164 |
| IIIA | 0.0181-0.97 | 0.00337-0.109 |
| IIIB | <0.133 | <0.105 |
Claims (1)
1. be specified to Tibetan power and become a method for Tibetan physical property lower limit with the Effective Reservoirs under pore texture constraint, it is characterized in that: comprise following steps:
1) by concrete study area oil water interfacial tension δ and stratum system temperature T fitting function, obtain:
δ＝f(T) (4)
Calculate oil water interfacial tension under condition of different temperatures;
2) utilize formula (1) to calculate Effective Reservoirs under Different Strata temperature, different accumulation dynamics and become to hide largest connected pore throat radius lower limit;
r
0=2δcosθ／P
f (1)
Wherein: P
ffor critical one-tenth, hide power, unit representation is Mpa; θ is the moisten contact angle of profit to rock, and unit representation is °, θ=30 °;
3) funtcional relationship that utilization pressure mercury data is set up the largest connected pore throat radius of reservoir and permeability, as formula (5), is calculated Effective Reservoirs under Different Strata temperature, different accumulation dynamics and is become to hide permeability cutoff;
K=A×r
0 B，R
2=0.881 (5)
Wherein: A, B are constant; K is permeability, and unit representation is 10
-3μ m
2; r
0for largest connected pore throat radius, unit representation is μ m; R is the coefficient of determination or the index of correlation;
4) to pore throat textural classification; On the basis of reservoir pore throat textural classification, simulate respectively the funtcional relationship between different pore throat structure type reservoir K/ Φ and K, and determine corresponding K and the K/ Φ interval range of each pore throat structure type reservoir;
Wherein: K is permeability, unit representation is 10
-3μ m
2, Φ is factor of porosity;
5) by step 3) Effective Reservoirs becomes to hide the functional relation of permeability limits each pore throat structure type reservoir K/ Φ of substitution and K at the Different Strata temperature of trying to achieve, different accumulation dynamics, and calculate respectively the Effective Reservoirs that different pore throat structure type reservoirs are corresponding and become Tibetan PLL
Wherein, K is permeability, and unit representation is 10
-3μ m
2, Φ is factor of porosity.
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