CN105134191A - Method for evaluating reserves of tight oil well - Google Patents
Method for evaluating reserves of tight oil well Download PDFInfo
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- CN105134191A CN105134191A CN201510526436.9A CN201510526436A CN105134191A CN 105134191 A CN105134191 A CN 105134191A CN 201510526436 A CN201510526436 A CN 201510526436A CN 105134191 A CN105134191 A CN 105134191A
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- 239000003129 oil well Substances 0.000 title claims abstract description 302
- 238000000034 method Methods 0.000 title abstract description 23
- 238000011156 evaluation Methods 0.000 claims abstract description 32
- 238000009826 distribution Methods 0.000 claims abstract description 29
- 238000000280 densification Methods 0.000 claims description 241
- 230000007423 decrease Effects 0.000 claims description 164
- 238000004519 manufacturing process Methods 0.000 claims description 97
- 230000001186 cumulative effect Effects 0.000 claims description 27
- 238000005553 drilling Methods 0.000 claims description 12
- 239000004215 Carbon black (E152) Substances 0.000 claims description 11
- 229930195733 hydrocarbon Natural products 0.000 claims description 11
- 150000002430 hydrocarbons Chemical class 0.000 claims description 11
- 239000005416 organic matter Substances 0.000 claims description 10
- 239000011435 rock Substances 0.000 claims description 10
- 230000003247 decreasing effect Effects 0.000 claims description 8
- JEYCTXHKTXCGPB-UHFFFAOYSA-N Methaqualone Chemical compound CC1=CC=CC=C1N1C(=O)C2=CC=CC=C2N=C1C JEYCTXHKTXCGPB-UHFFFAOYSA-N 0.000 claims description 5
- 238000011161 development Methods 0.000 abstract description 7
- 238000005065 mining Methods 0.000 abstract description 3
- 239000003921 oil Substances 0.000 description 44
- 239000010779 crude oil Substances 0.000 description 3
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- 238000004364 calculation method Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
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- 238000011234 economic evaluation Methods 0.000 description 2
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000013316 zoning Methods 0.000 description 2
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention discloses an evaluation method for reserves of a compact oil well, relates to the technical field of oil-gas exploration and development, and mainly solves the problem of low reserve prediction precision of the compact oil well. The method comprises the steps of grading different compact oil wells by utilizing geological factors of compact oil well regions and mining states of the compact oil wells to obtain the abundance of each compact oil well in each level of compact oil wells, calculating the planar distribution of the abundance to obtain the economic coefficient of each compact oil well in each level of compact oil wells, dividing each level of compact oil wells into different classes by the economic coefficient, and finally obtaining the reserves of the compact oil wells under each level of each class on the basis of the areas of the compact oil wells in each level of compact oil wells and the abundance of the compact oil wells in each level of compact oil wells. The evaluation method of the compact oil well reserves effectively improves the precision of compact oil reserves prediction.
Description
Technical field
The present invention relates to oil-gas exploration and development technical field, particularly the evaluation method of a kind of densification oil well of densification oil well reserves quality reserves.
Background technology
Fine and close oil refers to preserve and is less than or equal to 0.1 × 10-3 μm covering pressure matrix permeability
2fine and close shale, oil in the compact reservoir such as tight sand or dense carbonate.Current fine and close oil is still in the exploration initial stage, is the important growth point of following oil production rate, and the output of the fine and close oil in the whole world in 2014 has reached 200,000,000 tons, according to the fine and close oil tech recoverable reserves in the domestic and international organization evaluation whole world up to 300-400 hundred million tons.The one in unconventional petroleum resources is belonged to due to fine and close oil, it has the features such as extensive gathering continuously, source Nei Huojin Yuan Chengzang, source storage one, itself and conventional oil have greatest differences in underground accumulation mode and development tool, can not simply the method for following conventional lines evaluate.But just so far, progress acquired by the forecasting research of some the fine and close oilreserves carried out both at home and abroad and achievement, the existing method relating to fine and close oilreserves evaluation still follows conventional lines the evaluation method of oil and gas reserves, based on volumetric method, analogy method and probabilistic method.
Volumetric method a kind ofly depicts the fine and close oily space distribution situation in underground, district to be evaluated based on well logging and seismic data, calculates the volume of fine and close oil reservoir, estimated the method for fine and close oilreserves by the degree of porosity of oil reservoir.Volumetric method evaluates fine and close oilreserves based on conventional gas and oil underground accumulation mode, certain applicability is had for the fine and close oil reservoir of homogeneous thick-layer, but for most of fine and close oil reservoir, all there is strong non-homogeneity, laterally longitudinally change is all very fast, its geologic parameter almost cannot get standard, and thus final appraisal results precision is extremely low.Probabilistic method utilizes finally to estimate recoverable reserves at product well, be based upon and produce the total recoverable reserves probability distribution graph of well, after determining the drilling well number N in district to be evaluated, recoverable reserves value is finally estimated from obtaining individual well by Monte Carlo stochastic simulation correspondence on the total recoverable reserves probability distribution graph of product well, choose N time, obtain N number of individual well and finally estimate recoverable reserves value, try to achieve average then to input, repeat this process 5000 to 10000 times, obtain 5000-10000 average, the final estimation recoverable reserves probability statistical distribution figure made new advances is according to these numerical value, obtain according to different probability place and do not drill regional P1, P2, P3 indicated reserves c2.Probabilistic method calculates fine and close oilreserves based on the method for mathematical statistics, wherein do not consider the impact of geologic(al) factor, the difference of geologic(al) factor hides reserves for any Region of Oil-gas all can have very large impact, especially can reflect the hydrocarbon source condition of oil generation ability and reflect the Reservior Conditions of ability of preserving.Thus, ignore the probabilistic method of geologic(al) factor, comparatively accurate fine and close oilreserves cannot be obtained.Analogy method utilizes producing geological conditions and the development well feature in fine and close oily district, and set up scale area, by district to be evaluated geological conditions, analogy has scale area, determines district to be evaluated development well feature, and then extrapolates the reserves in band development zone.Analogy method needs a large amount of correction datas similar with being evaluated region, and when lacking suitable data, oil and gas productivity prediction precision is low; In addition, even if having more correction data, due to the inhomogeneity of the oily reservoir of densification, have the area of same parameter, production capacity difference still can be very large, and this directly affects the estimation to recoverable reserves, therefore, the fine and close oilreserves precision that analogy method obtains is low, can not meet need of production.
Present inventor finds, due to the special pearl property of the oily resource of densification, when adopting above existing conventional method to evaluate, fails to consider the impact of the geologic(al) factor of fine and close oil, engineering factor and economic factor comprehensively, finally causes the precision of evaluation result low.
Summary of the invention
In order to overcome the above-mentioned defect of prior art, embodiments provide a kind of evaluation method of densification oil well reserves, to improve the precision predicted fine and close oilreserves.
The concrete technical scheme of the embodiment of the present invention is:
A kind of evaluation method of densification oil well reserves, it comprises the following steps: carry out classification from the exploitation state of densification oil oil well to different densifications oil oil well based on the geologic(al) factor in densification oil well region, and then obtain the abundance of each densification oil well in densification oil well at different levels; Abundance based on densification oil well each in densification oil well at different levels obtains the abundance plane distribution of fine and close oil well in described densification oil well region; Abundance based on densification oil well each in densification oil well at different levels obtains the economic coefficient of each densification oil well in densification oil well at different levels, thus fine and close for every class oil well is divided into different stage obtains other fine and close oily oil well of all types; The area of the unique close oil well of all types is obtained based on the abundance plane distribution of fine and close oil well in described densification oil well region and other fine and close oil well of all types; Economic coefficient based on densification oil well each in densification oil well at different levels obtains the abundance of densification oil well of all categories in densification oil well at different levels; In oily based on densification at different levels, the abundance of densification oil well of all categories and the area of other fine and close oil well of all types obtain all types and do not descend the reserves of densification oil well thus evaluate the reserves situation in this fine and close oil well region.
The pattern of fine and close oily production capacity gradual change under the evaluation method of fine and close oil well reserves utilizes similar geological conditions in the embodiment of the present invention, determine the abundance distribution feature of densification oil well of all categories in fine and close oily producing region densification at different levels oil well, utilize the fine and close oily recoverable reserves abundance of this parameter evaluation of abundance, solve the shortcoming that the yield data used in prior art does not all consider engineering factor.Then, the abundance boundary of economic coefficient to fine and close oil well is utilized to divide, and then fine and close oilreserves is classified, determine different classes of reserves, utilize economic coefficient determination reserves abundance boundary, different classes of reserves scope can be marked off in the plane and reflection reserves abundance situation directly perceived, solve the shortcoming that prior art reserve distribution scope of all categories and reserves abundance can not be taken into account, utilize the standard of economic coefficient as boundary line delimitation directly reflecting most current cost and income, for the economic evaluation of later stage to block provides support, compensate for the shortcoming that existing method does not all consider fine and close oil exploitation economic feasibility.As can be seen here, the evaluation method of these fine and close oil well reserves has considered geologic(al) factor, engineering factor, reserve distribution scope, reserves abundance and economic factor etc., it is for the only unilateral factor considering the fine and close oil well Reserves Evaluation of some effects of prior art, result is more accurate reliable, thus preferably provides reliable basis fast for the oily region of follow-up densification.
Accompanying drawing explanation
Accompanying drawing described here only for task of explanation, and is not intended to limit scope disclosed by the invention by any way.In addition, the shape of each parts in figure and proportional sizes etc. are only schematic, for helping the understanding of the present invention, are not the shape and the proportional sizes that specifically limit each parts of the present invention.Those skilled in the art under the teachings of the present invention, can select various possible shape and proportional sizes to implement the present invention as the case may be.
Fig. 1 is the schematic flow sheet of the evaluation method of fine and close oil well reserves in embodiment of the present invention.
Fig. 2 a-2h is the schematic diagram of the densification oil resource-area different conditions condition of the multiple different stages marked off in the embodiment of the present invention.
Fig. 3 is the productive frontiers figure of the fine and close oil well of a certain class in the embodiment of the present invention.
Fig. 4 is the average EUR fitted figure in one-level resource-area in the embodiment of the present invention.
Fig. 5 is the average EUR fitted figure in secondary resource-area in the embodiment of the present invention.
Fig. 6 is whole densification oil well region EUR abundance plane distribution in the embodiment of the present invention.
Fig. 7 a-7c is the area of the corresponding EUR abundance of the unique close oil well of all types in the embodiment of the present invention.
Detailed description of the invention
By reference to the accompanying drawings with the description of the specific embodiment of the invention, can clearly understand details of the present invention.But the specific embodiment of the present invention described here, only for explaining object of the present invention, and can not to be understood as by any way be limitation of the present invention.Under the teachings of the present invention, technician can conceive based on distortion possible arbitrarily of the present invention, and these all should be regarded as belonging to scope of the present invention.
The embodiment of the invention discloses a kind of evaluation method of densification oil well reserves, Fig. 1 is the schematic flow sheet of the evaluation method of fine and close oil well reserves in embodiment of the present invention, and as shown in Figure 1, the evaluation method of fine and close oil well reserves comprises:
S101: carry out classification from the exploitation state of densification oil oil well to different densifications oil oil well based on the geologic(al) factor in densification oil well region, and then obtain the abundance of each densification oil well in densification oil well at different levels, it comprises the following steps:
S201: from the exploitation state of densification oil oil well, classification is carried out to different densifications oil oil well based on the geologic(al) factor in densification oil well region.
According to the rock thickness in a steady stream of hydrocarbon in block, abundance of organic matter TOC, maturity of organic matter Ro, Reservoir Thickness, porosity of sandstones, the crucially quality factor of the fine and close oily workability of the impact such as oil saturation, and combine drilling well initil output, output oil-water ratio, the resource Grading And Zoning that the features such as crude oil severe can be carried out oily resource fine and close in block, geologic(al) factor at least comprises hydrocarbon rock thickness in a steady stream in block, abundance of organic matter TOC, maturity of organic matter Ro, Reservoir Thickness, porosity of sandstones and oil saturation one of them, the exploitation state of fine and close oil well at least comprises drilling well initil output, output oil-water ratio and crude oil severe one of them.
Be to utilize geologic parameter to carry out classification to the oily resource of densification, densification oil well Region dividing become the densification oil producing region of multiple different stage.To affect the crucially quality factor of fine and close oil yield, hydrocarbon source conditions, abundance of organic matter, Reservoir Thickness etc. have carried out Grading And Zoning to the oily resource of densification, solve the shortcoming all not considering geologic(al) factor in prior art; In different stage, set up separately average product decreasing model, solve part producing time shorter well and decreasing model cannot be utilized to simulate the shortcoming obtaining fine and close oily gross reserves.
Be specific embodiments of the invention below: for North America block geological condition, determine the main interval of fine and close oily output, rock type, rock association type; Utilize the geologic(al) factor feature of geochemical data determination block oil generation hydrocarbon source rock, comprise the plane distribution situation of hydrocarbon source rock thickness, abundance of organic matter (TOC), organic matter type, maturity of organic matter (Ro), reflect block hydrocarbon source rock oil generation ability, oil generating quantity and hydrocarbon type respectively; Utilize drilling well well-log information determination block reservoir characteristic, comprise thickness (some areas are equal to hydrocarbon source rock thickness), degree of porosity, pressure coefficient, oil saturation, buried depth, broken up planar characteristics of distribution; Utilize well logging data or creation data, tentatively determine the planar characteristics of distribution of fine and close oily production capacity in block; To consider that the geologic parameter plane such as hydrocarbon source rock and reservoir is specially for master, in conjunction with production capacity distribution situation, divide according to the resource-area criteria for classifying in block, table 1 is the resource-area criteria for classifying in block, comprehensive division goes out the densification oil resource-area of multiple not rank, Fig. 2 a-2h is the schematic diagram of the densification oil resource-area different conditions condition of the multiple different stages marked off in the embodiment of the present invention, as shown in Fig. 2 a-2h.
The fine and close oily resource class of table 1 divides parameter list
S202: the decline curve based on the oily oil well output of densification at different levels determines the production decline modeling of densification oil well at different levels respectively.
Decline curve based on the oily oil well output of densifications at different levels in resource-area sets up typical curve respectively, determine the most suitable production decline modeling simulating the oily productive frontiers of densification at different levels, production decline modeling at least comprise exponential decline forecast model, hyperbolic decline model, tuning decreasing model and hyperbolic-exponential decline forecast model etc. one of them.
In the present embodiment, hyperbolic-exponential decline forecast model is chosen to study area, because the recoverable reserves of individual well easily over-evaluated by single hyperbolic decline model, utilize hyperbolic-exponential decline forecast model to carry out feasible simulation prediction to the recoverable reserves of individual well.Along with the increase of production time, production decline rate reduces gradually, i.e. monthly decline rate D
mwhen being 0.83%, be exponential decline forecast model by hyperbolic decline model conversion, to prevent the decreasing model error that phase prediction appearance is obviously higher after manufacture, wherein 0.83% is exponential decrease rate D
e.Fig. 3 is the productive frontiers figure of the fine and close oil well of a certain class in the embodiment of the present invention, and as shown in Figure 3, the decline curve of the oily oil well output of densification at different levels comprises monthly decline rate D
m, as monthly decline rate D
mbe greater than exponential decrease rate D
etime, determine that this stage is hyperbolic decline model, as monthly decline rate D
mequal exponential decrease rate D
etime, determine that this moment is that hyperbolic decline model is transformed into exponential decline forecast model, as monthly decline rate D
mbe less than exponential decrease rate D
etime, determine that this stage is exponential decline forecast model.
S203: the production decline modeling based on densification oil well at different levels obtains total recoverable reserves of each densification oil well in densification oil well at different levels, and it comprises the following steps:
In the present embodiment, choose the creation data of the whole fine and close oil wells of having gone into operation in study area, estimate ultimate recoverable reserves in two stages as shown in Figure 3.
S301: when this stage is hyperbolic decline model, obtains the decline exponent constant of hyperbolic decline model based on the hyperbolic decline aspect of model and existing creation data.The design formulas of the decline exponent constant of hyperbolic decline model is as follows:
q
mt＝q
mi(1+bD
mit
m)
-1/b(2)
Wherein, D
mirepresent initial monthly decline rate, q
mirepresent initial monthly output, q
mtrepresent the monthly output of t month, t
mrepresent the production time, b represents the decline exponent constant of hyperbolic decline model, and existing creation data comprises q
miand q
mt.
Initial monthly decline rate D is calculated by formula 1
mi.Special instruction, wherein b=0 is exponential decline forecast model, and b=1 is harmonic decline model, and in conventional gas and oil decreasing model, b is generally less than 1, and is often greater than 1 for unconventionaloil pool b.By D
miwith the steady production data q of more than 6 ~ 12 months
mtsubstitute into formula 2 and calculate parameter b.
S302: as monthly decline rate D
mequal exponential decrease rate D
e, this moment is hyperbolic decline model when being transformed into exponential decline forecast model, based on exponential decrease rate D
eobtain the production time in hyperbolic decline model stage.
Work as D
m=D
etime, hyperbolic decline model is transformed into exponential decline forecast model, and the time of now producing is t
1, expression formula is:
Wherein, t
1represent production time in hyperbolic decline model stage, namely from production reach critical lapse rate D
eproduction time, D
erepresent critical lapse rate, b represents the decline exponent constant of hyperbolic decline model, D
mirepresent initial monthly decline rate.
T is calculated by formula 3
1.
S303: the cumulative production obtaining the hyperbolic decline model stage based on the decline exponent constant of hyperbolic decline model and the production time in hyperbolic decline model stage.
The hyperbolic decline model stage is by the end of t
1the cumulative production formula of the moon is:
Wherein, b represents the decline exponent constant of hyperbolic decline model, q
mirepresent initial monthly output, D
mirepresent initial monthly decline rate, Q
1represent the cumulative production in hyperbolic decline model stage.
Work as t
m=t
1time, carry it into formula 2 and calculate q
mt, q now
mtbe critical lapse rate D
etime production capacity q
e.The cumulative production Q in hyperbolic decline model stage
1obtain by carrying out integration to formula 4:
Wherein, q
erepresent critical lapse rate D
etime production capacity, b represents the decline exponent constant of hyperbolic decline model, q
mirepresent initial monthly output, D
mirepresent initial monthly decline rate, Q
1represent the cumulative production in hyperbolic decline model stage.
The cumulative production Q in hyperbolic decline model stage is calculated according to above-mentioned formula 5
1.
S304: the production time obtaining the exponential decline forecast model stage based on economic boundaries production capacity.
As monthly decline rate D
mbe less than exponential decrease rate D
etime, this stage is exponential decline forecast model, and in exponential decline forecast model, monthly output formula is:
Wherein, t
m> t
1, q
erepresent critical lapse rate D
etime production capacity, D
erepresent critical lapse rate, t
mrepresent the production time, q
mtrepresent the monthly output of t month.
Work as q
mt=q
ztime, that is when monthly output reaches economic limit rate q
ztime, stop exploitation, t
2expression formula is:
Wherein, q
zrepresent economic boundaries production capacity, t
2represent the production time in exponential decline forecast model stage, namely from critical production capacity q
edrop to the production time of economic boundaries production capacity, D
erepresent critical lapse rate, q
erepresent critical lapse rate D
etime production capacity.
S305: the cumulative production obtaining the exponential decline forecast model stage based on production time in exponential decline forecast model stage and exponential decline forecast model.
Integration is carried out to above-mentioned formula 6, obtains the cumulative production Q in exponential decline forecast model stage
2:
Wherein, Q
2represent the cumulative production in exponential decline forecast model stage, q
erepresent critical lapse rate D
etime production capacity, D
erepresent critical lapse rate, D
mrepresent monthly decline rate, t
2represent critical production capacity q
edrop to the production time in economic boundaries production capacity exponential decline forecast model stage.
S306: the total recoverable reserves obtaining each densification oil well in densification oil well at different levels based on the cumulative production in hyperbolic decline model stage and the cumulative production in exponential decline forecast model stage.
By the t in formula 7
2bring formula 9 into, and then calculate total recoverable reserves EUR of each densification oil well in densification oil well at different levels:
EUR＝Q
1+Q
2(10)
Wherein, Q
1represent the cumulative production in hyperbolic decline model stage, Q
2represent the cumulative production in exponential decline forecast model stage, EUR represents total recoverable reserves of each densification oil well in densification oil well at different levels.
For the fine and close oil well produced more than 1 year, production capacity has reached steady, utilizes step S103 to calculate its EUR respectively.For producing the part well failing to reach the stable yields stage less than a year, b cannot be obtained comparatively accurately, and then affect the prediction of EUR.Fig. 4 is the average EUR fitted figure in adjacent domain one-level resource-area in the embodiment of the present invention, Fig. 5 is the average EUR fitted figure in adjacent domain secondary resource-area in the embodiment of the present invention, as shown in Figure 4, Figure 5, utilizes the average productive frontiers of the densification of adjacent domain oil oil well, set up decreasing model, determine parameter b and D
mi, as b and D in non-stable yields well decreasing model
midefault value.Again in conjunction with the initil output of this well, utilize step S103 reasonably can dope the EUR of its this well.
S204: obtain the abundance of the oily oil well of each densification in densification oil well at different levels based on total recoverable reserves of each densification oil well in the horizontal segment length of each densification oil well, the earial drainage radius of each densification oil well and densification oil well at different levels.
The abundance EUR of each densification oil well in densification oil well at different levels
idesign formulas as follows:
S＝2Lr(12)
Wherein, EUR
irepresent the abundance of each densification oil well in densification oil well at different levels, EUR represents total recoverable reserves of each densification oil well in densification oil well at different levels, L represents the horizontal segment length of each densification oil well, and r represents the earial drainage radius of each densification oil well, and S represents well control area.In the present embodiment, horizontal segment length can obtain from horizontal well drilling data, and the average earial drainage radius in this fine and close oil well region is approximately the adjacent area average well spacing half of development block producing well, is about about 400m.
The model of fine and close oily production capacity gradual change under utilizing similar geological conditions, determines fine and close oil well region total recoverable reserves abundance distribution feature.Utilize the fine and close oily recoverable reserves abundance of this parameter evaluation of total recoverable reserves abundance, the shortcoming that the yield data used in prior art does not all consider engineering factor can be solved.
S102: the abundance based on densification oil well each in densification oil well at different levels obtains the abundance plane distribution of fine and close oil well in fine and close oil well region.
Fig. 6 is whole densification oil well region EUR abundance plane distribution in the embodiment of the present invention, as shown in Figure 6, utilize the software possessing interpolation function, space interpolation is carried out to individual well EUR abundance not at the same level in densification oil well region, obtains whole densification oil well region EUR abundance plane distribution.For ensureing the reliability of block edges REGION INTERPOLATION, collecting the densification oil oil well production data of surrounding area beyond fine and close oil well region as much as possible, carrying out interpolation as data point equally.Utilize EUR abundance spatial interpolation methods in fine and close oil well region, solve in prior art the shortcoming needing a large amount of producing well just can evaluate whole block reserves.
S103: the abundance based on densification oil well each in densification oil well at different levels obtains the economic coefficient of each densification oil well in densification oil well at different levels, thus densification oil well at different levels is divided into different classes ofly obtains other fine and close oily oil well of all types.
Abundance based on densification oil well each in densification oil well at different levels calculates the economic coefficient of each densification oil well in densification oil well at different levels:
Wherein, k represents the economic coefficient of each densification oil well in densification oil well at different levels, and p represents current oil price, and C represents drilling well total cost, EUR
irepresent the abundance of each densification oil well in densification oil well at different levels.
According to the economic coefficient obtained, every grade of densification oil well is divided into different classes of, thus obtains other fine and close oily oil well of all types.
In the present embodiment, according to economic coefficient k, densification oil well is marked off the EUR abundance evaluation criterion of 1P, 2P, 3P reserves.Economic coefficient k is the economic index weighing single densification oil well, and the ratio of the corresponding income of the larger expression of k and cost is larger.In this fine and close oil well region, during economic coefficient k≤1, this oil well is considered to distant view resource, and during k>1, this oil well is considered to 3P recoverable reserves; During k>1.5, this oil well is considered to 2P recoverable reserves; During k>2, this oil well is considered to 1P recoverable reserves.
Utilize economic coefficient to EUR abundance boundary line delimitation, and then fine and close oilreserves is classified, determine the reserves that 1P, 2P, 3P are different classes of.Economic coefficient is utilized to determine EUR abundance boundary, the reserves scope that 1P, 2P, 3P are different classes of can be marked off in the plane, thus carry out calculating and then can intuitively reflecting reserves abundance situation in subsequent step, solve the shortcoming that prior art reserve distribution scope at different levels and reserves abundance can not be taken into account; Utilize the standard of economic coefficient as boundary line delimitation directly reflecting most current cost and income, for the economic evaluation of later stage to block provides support, compensate for the shortcoming that existing method does not all consider fine and close oil exploitation economic feasibility.
S104: the area not obtaining the unique close oil well of all types based on the abundance plane distribution of fine and close oil well in described densification oil well region and all types of densification oil oil well.
Fig. 7 a-7c is the area of the corresponding EUR abundance of the unique close oil well of all types in the embodiment of the present invention, as shown in Fig. 7 a-7c, according to the abundance plane distribution of fine and close oil well in densification oil well region, and each all types belonging to fine and close oil well is other in the abundance plane distribution determining fine and close oil well in fine and close oil well region, abundance plane distribution can be carried out gridding, be calculated the area of the unique close oil well of all types by the grid number calculated shared by each fine and close oil well.Grid number divides more little more, and its numerical value finally calculated is corresponding more accurate.
S105: the economic coefficient based on densification oil well each in densification oil well at different levels obtains the abundance of densification oil well of all categories in densification oil well at different levels.
According to known current oil price, well control area, drilling well total cost, the economic coefficient based on densification oil well each in densification oil well at different levels calculates the abundance of densification oil well of all categories in densification oil well at different levels, and concrete formula is as follows:
Wherein, EUR
Ι Ιrepresent the abundance of densification oil well of all categories in densification oil well at different levels, C is drilling well total cost, and S represents well control area, and p is current oil price, and k represents the economic coefficient of each densification oil well in densification oil well at different levels.
In the present embodiment, current oil price gets 50 dollars/barrel, individual well drilling cost average out to 1.2 × 10
7dollar, individual well horizontal segment average length is 3000m, earial drainage radius 400m, i.e. well control area average out to 2.4 × 10
6m
2.The abundance of densification oil well of all categories in densification oil well at different levels is calculated by formula 14.As k=1, k=1.5, k=2, the abundance of corresponding densification oil well of all categories is 100 × 10 respectively
-3bbl/m
2, 150 × 10
-3bbl/m
2, 200 × 10
-3bbl/m
2.
S106: in oily based on densification at different levels, the abundance of densification oil well of all categories and the area of other fine and close oil well of all types obtain the reserves that all types does not descend densification oil well.
In densification oil well region fine and close oil well abundance plane distribution on obtain the area of other fine and close oil well of all types, in oily according to every class densification, the abundance of densification oil well of all categories and the areal calculation of other fine and close oil well of all types obtain the reserves that all types does not descend densification oil well, and its design formulas is as follows:
P＝ΣEUR
ΙΙ×S
i(15)
Wherein, P represents that all types does not descend the reserves of densification oil well, EUR
Ι Ιto represent after gridding the abundance of densification oil well of all categories in densification oil well at different levels under certain grid, S
ithe unit area of each grid after expression gridding.
In the present embodiment, utilize space interpolation software that the abundance plane distribution of fine and close oil well in densification oil well region is carried out gridding process, and calculate the reserves that all types does not descend densification oil well respectively successively.Table 2 is the reserves that all types does not descend densification oil well, and said process result of calculation is as shown in table 2.
Table 2 all types does not descend the reserves of densification oil well
Therefore, in whole densification oil well region, 1P is 1.879 hundred million barrels, and 2P is 3.463 hundred million barrels, and 3P is 4.503 hundred million barrels.In addition, the cumulative production current according to existing drilling well, output crude oil 1589.7 ten thousand barrels in one-level resource-area, output 564.4 ten thousand barrels in secondary resource-area.Therefore residue mining resources in one-level resource-area is 3.534 hundred million barrels, and secondary resource-area residue mining resources is 0.753 hundred million barrel.The reserves that all types does not descend the oily oil well of densification are calculated respectively according to the EUR abundance of 1P, 2P, 3P reserves classification and area; In conjunction with this fine and close oil well region in product well cumulative production, calculate study area residual recoverable reserves.The evaluation method of these fine and close oil well reserves has considered geologic(al) factor, engineering factor, reserve distribution scope, reserves abundance and economic factor etc., it is for the only unilateral factor considering the fine and close oil well Reserves Evaluation of some effects of prior art, result is more accurate reliable, thus preferably provides reliable basis fast for the oily region of follow-up densification.
Each embodiment in this manual all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.
Above-described embodiment, only for technical conceive of the present invention and feature are described, its object is to person skilled in the art can be understood content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalences done according to Spirit Essence of the present invention change or modify, and all should be encompassed within protection scope of the present invention.
Claims (10)
1. an evaluation method for densification oil well reserves, is characterized in that, it comprises the following steps:
From the exploitation state of densification oil oil well, classification is carried out to different densifications oil oil well based on the geologic(al) factor in densification oil well region, and then obtain the abundance of each densification oil well in densification oil well at different levels;
Abundance based on densification oil well each in densification oil well at different levels obtains the abundance plane distribution of fine and close oil well in described densification oil well region;
Abundance based on densification oil well each in densification oil well at different levels obtains the economic coefficient of each densification oil well in densification oil well at different levels, thus is divided into by densification oil well at different levels and different classes ofly obtains other fine and close oily oil well of all types;
The area of the unique close oil well of all types is not obtained based on the abundance plane distribution of fine and close oil well in described densification oil well region and all types of densification oil oil well;
Economic coefficient based on densification oil well each in densification oil well at different levels obtains the abundance of densification oil well of all categories in densification oil well at different levels;
In oily based on densification at different levels, the abundance of densification oil well of all categories and the area of the unique close oil well of all types obtain the reserves that all types does not descend densification oil well.
2. the evaluation method of densification oil well reserves according to claim 1, it is characterized in that: from the exploitation state of densification oil oil well, classification is carried out to different densifications oil oil well based on the geologic(al) factor in densification oil well region in step, and then obtain in the abundance of each densification oil well in densification oil well at different levels, it comprises the following steps:
From the exploitation state of densification oil oil well, classification is carried out to different densifications oil oil well based on the geologic(al) factor in densification oil well region, and then obtain total recoverable reserves of each densification oil well in densification oil well at different levels;
The abundance of the oily oil well of each densification in densification oil well at different levels is obtained based on total recoverable reserves of each densification oil well in the horizontal segment length of each densification oil well, the earial drainage radius of each densification oil well and densification oil well at different levels;
Wherein, described geologic(al) factor at least to comprise in block hydrocarbon in a steady stream rock thickness, abundance of organic matter TOC, maturity of organic matter Ro, Reservoir Thickness, porosity of sandstones and oil saturation one of them.
3. the evaluation method of densification oil well reserves according to claim 2, it is characterized in that, from the exploitation state of densification oil oil well, classification is carried out to different densifications oil oil well based on the geologic(al) factor in densification oil well region in step, and then obtain in total recoverable reserves of each densification oil well in densification oil well at different levels, it comprises the following steps:
From the exploitation state of densification oil oil well, classification is carried out to different densifications oil oil well based on the geologic(al) factor in densification oil well region;
Decline curve based on the oily oil well output of densification at different levels determines the production decline modeling of densification oil well at different levels respectively;
Production decline modeling based on densification oil well at different levels obtains total recoverable reserves of each densification oil well in densification oil well at different levels.
4. the evaluation method of densification oil well reserves according to claim 3, it is characterized in that: determine in the production decline modeling of densification oil well at different levels in step respectively based on the decline curve of the oily oil well output of densification at different levels, production decline modeling at least comprise exponential decline forecast model, hyperbolic decline model, tuning decreasing model and hyperbolic-exponential decline forecast model one of them; The decline curve of the oily oil well output of densification at different levels comprises monthly decline rate D
m, as monthly decline rate D
mbe greater than exponential decrease rate D
etime, determine that this stage is hyperbolic decline model, as monthly decline rate D
mequal exponential decrease rate D
etime, determine that this moment is that hyperbolic decline model is transformed into exponential decline forecast model, as monthly decline rate D
mbe less than exponential decrease rate D
etime, determine that this stage is exponential decline forecast model;
Obtain, in total recoverable reserves of each densification oil well in densification oil well at different levels, specifically comprising the following steps in the production decline modeling of step based on densification oil well at different levels:
When this stage is hyperbolic decline model, obtain the decline exponent constant of hyperbolic decline model based on the hyperbolic decline aspect of model and existing creation data;
As monthly decline rate D
mequal exponential decrease rate D
e, this moment is hyperbolic decline model when being transformed into exponential decline forecast model, based on exponential decrease rate D
eobtain the production time in hyperbolic decline model stage;
The cumulative production in hyperbolic decline model stage is obtained based on the decline exponent constant of hyperbolic decline model and the production time in hyperbolic decline model stage;
The production time in exponential decline forecast model stage is obtained based on economic boundaries production capacity;
The cumulative production in exponential decline forecast model stage is obtained based on production time in exponential decline forecast model stage and exponential decline forecast model;
Total recoverable reserves of each densification oil well in densification oil well at different levels is obtained based on the cumulative production in hyperbolic decline model stage and the cumulative production in exponential decline forecast model stage.
5. the evaluation method of densification oil well reserves according to claim 4, it is characterized in that: in step when this stage is hyperbolic decline model, obtain in the decline exponent constant of hyperbolic decline model based on the hyperbolic decline aspect of model and existing creation data, concrete formula is as follows:
q
mt＝q
mi(1+bD
mit
m)
-1/b
Wherein, D
mirepresent initial monthly decline rate, q
mirepresent initial monthly output, q
mtrepresent the monthly output of t month, t
mrepresent the production time, b represents the decline exponent constant of hyperbolic decline model, and existing creation data comprises D
miand q
mt.
6. the evaluation method of densification oil well reserves according to claim 4, is characterized in that: in step as monthly decline rate D
mequal exponential decrease rate D
e, this moment is hyperbolic decline model when being transformed into exponential decline forecast model, based on exponential decrease rate D
eobtain in the production time in hyperbolic decline model stage, concrete formula is as follows:
Wherein, t
1represent production time in hyperbolic decline model stage, namely from production reach critical lapse rate D
eproduction time, D
erepresent critical lapse rate, b represents the decline exponent constant of hyperbolic decline model, D
mirepresent initial monthly decline rate.
7. the evaluation method of densification oil well reserves according to claim 4, it is characterized in that: obtain in the cumulative production in hyperbolic decline model stage in step based on the decline exponent constant of hyperbolic decline model and the production time in hyperbolic decline model stage, concrete formula is as follows:
Wherein, q
erepresent critical lapse rate D
etime production capacity, b represents the decline exponent constant of hyperbolic decline model, q
mirepresent initial monthly output, D
mirepresent initial monthly decline rate, Q
1represent the cumulative production in hyperbolic decline model stage;
Obtain in the production time in exponential decline forecast model stage in step based on economic boundaries production capacity, concrete formula is as follows:
Wherein, q
zrepresent economic boundaries production capacity, t
2represent the production time in exponential decline forecast model stage, namely from critical production capacity q
edrop to the production time of economic boundaries production capacity, D
erepresent critical lapse rate, q
erepresent critical lapse rate D
etime production capacity;
Obtain in the cumulative production in exponential decline forecast model stage in step based on production time in exponential decline forecast model stage and exponential decline forecast model, concrete formula is as follows:
Wherein, Q
2represent the cumulative production in exponential decline forecast model stage, q
erepresent critical lapse rate D
etime production capacity, D
erepresent critical lapse rate, D
mrepresent monthly decline rate, t
2represent critical production capacity q
edrop to the production time in economic boundaries production capacity exponential decline forecast model stage;
Obtain in total recoverable reserves of each densification oil well in densification oil well at different levels based on the cumulative production in hyperbolic decline model stage and the cumulative production in exponential decline forecast model stage in step, concrete formula is as follows:
EUR＝Q
1+Q
2
Wherein, Q
1represent the cumulative production in hyperbolic decline model stage, Q
2represent the cumulative production in exponential decline forecast model stage, EUR represents total recoverable reserves of each densification oil well in densification oil well at different levels.
8. the evaluation method of densification oil well reserves according to claim 1, it is characterized in that: in step is based on the horizontal segment length of each densification oil well, the earial drainage radius of each densification oil well and densification oil well at different levels, total recoverable reserves of each densification oil well obtains in the abundance of each densification oil well in densification oil well at different levels, and concrete formula is as follows:
S＝2Lr
Wherein, EUR
irepresent the abundance of each densification oil well in densification oil well at different levels, EUR represents total recoverable reserves of each densification oil well in densification oil well at different levels, L represents the horizontal segment length of each densification oil well, and r represents the earial drainage radius of each densification oil well, and S represents well control area.
9. the evaluation method of densification oil well reserves according to claim 1, it is characterized in that: in step is based on densification oil well at different levels, the abundance of each densification oil well obtains the economic coefficient of each densification oil well in densification oil well at different levels, thus densification oil well at different levels is divided into different classes of obtaining in other fine and close oil well of all types, in densification oil well at different levels, the concrete formula of the economic coefficient of each densification oil well is as follows:
Wherein, k represents the economic coefficient of each densification oil well in densification oil well at different levels, and p represents current oil price, and C represents drilling well total cost, EUR
irepresent the abundance of each densification oil well in densification oil well at different levels;
In step is based on densification oil well at different levels, the economic coefficient of each densification oil well obtains in the abundance of densification oil well of all categories in densification oil well at different levels, and concrete formula is as follows:
Wherein, EUR
Ι Ιrepresent the abundance of densification oil well of all categories in densification oil well at different levels, C is drilling well total cost, and S represents well control area, and p is current oil price, and k represents the economic coefficient of each densification oil well in densification oil well at different levels.
10. the evaluation method of densification oil well reserves according to claim 1, it is characterized in that: step based on every class fine and close oily in the abundance of densification oil well of all categories and the area of other fine and close oil well of all types obtain all types and do not descend in the reserves of densification oil well, concrete formula is as follows:
P＝ΣEUR
ΙΙ×S
i
Wherein, P represents that all types does not descend the reserves of densification oil well, EUR
Ι Ιrepresent the abundance of densification oil well of all categories in densification oil well at different levels, S
ithe unit area of each grid after expression gridding.
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