CN103413030A - Dynamic analysis method and system of fracture-vug type carbonatite gas reservoir - Google Patents

Abstract

The invention provides a dynamic analysis method and system of a fracture-vug type carbonatite gas reservoir. Long-term production dynamic data and short-term well test data are combined to form complete production history data, so that the problem of multiple solutions of description of gas reservoir can be effectively solved, and the utilization rate of well test data is improved. Meanwhile, various critical problems about single-well gas deliverability, stable yield conditions, controlled active area and dynamic reserve volume of a single-well as well as parameters of strata permeability and the like in gas field development can be excellently solved by virtue of means such as analysis of well test, analysis of modern production decline and the like on the basis of the production history data.

Description

A kind of seam hole type carbonate gas reservoirs dynamic analysing method and system

Technical field

The present invention relates to oil gas field dynamic analysis technology field, particularly a kind of seam hole type carbonate gas reservoirs dynamic analysing method and system.

Background technology

It is to process dynamic data responses such as conciliating pressure that in the well testing of outgas well, production run, admission is arrived, output that gas reservoir is dynamically described, with modern well test analysis (Pressure Transient Analysis-PTA) and modern Production Decline Analysis (Production Analysis-PA or Rate Transient Analysis-RTA), particularly the Numerical Well Test Analysis method of recent development and technology, for relying on, carry out completely newly understanding to obtain the process of gas reservoir or gas well parameter to gas well strata condition of living in conjunction with static information.

In nearly 50 years in the past, the transient testing problem of people's opposite joint hole type carbonate rock hydrocarbon reservoir conducts extensive research.On the basis of the theoretical and traditional Production Decline Analysis technology of transient testing, the typical curve approximating method of take is the main fast development of modern Production Decline Analysis method gradual perfection, mainly contain Blasingame Blasingame, Agarwal-Gardner Agarwal-Gardner, NPI(Normalized Pressure Integral, standardization pressure integration), FMB(Flowing Material Balance stream material equilibria) etc. method.But a large amount of experiences show, are satisfied with all types of gas reservoirs without any a kind of production data analytical approach, the various analytical approachs of integrated application, and take full advantage of the flowing pressure data, be to reduce the optimal path that profiling error occurs.

In a word, the whole bag of tricks for the carbonatite performance analysis has limitation at present, does not also have comprehensive well testing and modern Production Decline Analysis method to stitch the relevant discussion that hole type carbonate gas reservoirs is dynamically described.

Summary of the invention

Fundamental purpose of the present invention is to solve problems of the prior art, and a kind of seam hole type carbonate gas reservoirs dynamic analysing method and system are provided.

For achieving the above object, the invention provides a kind of seam hole type carbonate gas reservoirs dynamic analysing method, comprising:

Obtain long-term dynamics pressure data and long-term dynamics data on flows that short-term well test data, wellbore pressure gradient data and long-term production record;

According to described long-term dynamics pressure data, long-term dynamics data on flows and described pit shaft gradient data, calculate long-term dynamics sand face pressure data;

Described long-term dynamics sand face pressure data are connected with described short-term well test data, obtain stitching hole type carbonate gas reservoirs performance analysis data;

Described seam hole type carbonate gas reservoirs performance analysis data are carried out to modern well test analysis or modern Production Decline Analysis, obtain the complete dynamic model of carbonate gas reservoirs;

According to the complete dynamic model of described carbonate gas reservoirs and real time data, produce performance prediction.

Optionally, the method also comprises: carry out the interwell communication analysis according to described seam hole type carbonate gas reservoirs performance analysis data.

Optionally, described described long-term dynamics sand face pressure data be connected and be specially with described short-term well test data:

In the time range that described short-term well test data records, adopt this short-term well test data;

In the time range without described short-term well test data record, adopt described long-term dynamics sand face pressure data.

Optionally, described modern well test analysis comprises analytical technique, is specially:

By pressure-pressure derivative double-log analytic approach, to described seam hole type carbonate gas reservoirs performance analysis data analysis, set up preliminary Oil/gas Well performance of the reservoir model;

By long-term dynamics sand face pressure data fitting, be constraint condition;

By described constraint condition, this preliminary Oil/gas Well performance of the reservoir model is verified perfectly, obtained the complete dynamic model of carbonate gas reservoirs.

Optionally, described modern well test analysis also comprises the Numerical Well Test Analysis method, when when described parsing well test analysis method, being not enough to obtain the complete dynamic model of carbonate gas reservoirs, specifically comprises:

Described, carbonate gas reservoirs place reservoir Profile Characteristics is carried out to the gridding adjustment, obtain the numerical analysis dynamic model that carbonate gas reservoirs place reservoir is complete.

Optionally, describedly according to the complete dynamic model of described carbonate gas reservoirs and real time data, produce performance prediction and comprise that the constant-pressure type is produced performance prediction and fixed output quota amount type is produced performance prediction, wherein,

Described constant-pressure type is produced performance prediction: make sand face pressure remain unchanged, the variation tendency of simulation output, be suitable for described production dynamic model;

Described fixed output quota amount type is produced performance prediction: make output remain unchanged, the variation tendency of simulated pressure, be suitable for described complete dynamic model.

The present invention provides a kind of seam hole type carbonate gas reservoirs dynamic analysis system in addition, comprising:

Data capture unit, the long-term dynamics pressure data and the long-term dynamics data on flows that be used to obtaining short-term well test data, wellbore pressure gradient data and long-term production, record;

The sand face pressure computing unit, for calculating long-term dynamics sand face pressure data according to described long-term dynamics pressure data, long-term dynamics data on flows and described pit shaft gradient data;

The data-linkage unit, for described long-term dynamics sand face pressure data are connected with described short-term well test data, obtain stitching hole type carbonate gas reservoirs performance analysis data;

Well test analysis and Production Decline Analysis unit, for described seam hole type carbonate gas reservoirs performance analysis data are carried out to modern well test analysis or modern Production Decline Analysis, obtain the complete dynamic model of carbonate gas reservoirs;

The production forecast unit, for producing performance prediction according to the complete dynamic model of described carbonate gas reservoirs and real time data.

Optionally, also comprise connectivity analytic unit between well, for according to described seam hole type carbonate gas reservoirs performance analysis data, carrying out the interwell communication analysis.

Optionally, described data-linkage unit specifically for:

In the time range that described short-term well test data records, adopt this short-term well test data;

In the time range without described short-term well test data record, adopt described long-term dynamics sand face pressure data.

Optionally, described well test analysis unit comprises:

The analytical analysis subelement, for passing through pressure-pressure derivative double-log analytic approach to described seam hole type carbonate gas reservoirs performance analysis data analysis, set up preliminary Oil/gas Well performance of the reservoir model; By long-term dynamics sand face pressure data fitting, be constraint condition; By described constraint condition, this preliminary Oil/gas Well performance of the reservoir model is verified perfectly, obtained the complete dynamic model of carbonate gas reservoirs;

The numerical analysis subelement, when when described parsing examination analysis subelement, being not enough to obtain the complete dynamic model of carbonate gas reservoirs, described, carbonate gas reservoirs place reservoir Profile Characteristics is carried out to the gridding adjustment, obtain the numerical analysis dynamic model that carbonate gas reservoirs place reservoir is complete.

Optionally, described production forecast unit comprises:

Constant-pressure type production forecast subelement, remain unchanged be used to making sand face pressure, and the variation tendency of simulation output, be suitable for described production dynamic model;

Fixed output quota amount type production forecast subelement, remain unchanged be used to making output, and the variation tendency of simulated pressure, be suitable for described complete dynamic model.

By the embodiment of the present invention, the long-term production dynamic data is combined with the short-term well test data and form complete production history data, multiresolution issue in can solution gas reservoir effectively dynamically describing, improve the utilization factor of well testing test data.Simultaneously, on this production history data basis, utilize the means such as well test analysis and modern Production Decline Analysis, can better solve in gas field development the various key issues that will run into: individual well gas deliverability, stable yields condition, the useful area of single well-controlled and dynamic holdup, the parameters such as the permeability on stratum.

The accompanying drawing explanation

Accompanying drawing described herein is used to provide a further understanding of the present invention, forms the application's a part, does not form limitation of the invention.In the accompanying drawings:

Fig. 1 is a kind of process flow diagram that stitches hole type carbonate gas reservoirs dynamic analysing method;

Fig. 2 is a kind of structural drawing that stitches hole type carbonate gas reservoirs dynamic analysis system;

Fig. 3 is the well test analysis method process flow diagram of homogeneous gas reservoir;

Fig. 4 is Blasingame Blasingame analytical approach process flow diagram;

Fig. 5 a is double-log match chart board principle schematic 1;

Fig. 5 b is double-log match chart board principle schematic 2;

Fig. 6 is A well production history material balance curve synoptic diagram;

Fig. 7 is the matched curve of A well Blasingame Blasingame double-log;

Fig. 8 is the matched curve of A well production history;

Fig. 9 is the process flow diagram of production forecast process of the present invention;

Figure 10 is 62-2 well performance prediction schematic diagram in tower under the fixed output quota situation;

Figure 11 is 62-2 well performance prediction schematic diagram in tower under the level pressure situation.

Embodiment

For making the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing, the present invention is described in further details.At this, exemplary embodiment of the present invention and explanation thereof be for explaining the present invention, but not as a limitation of the invention.

The present invention be take in tower as representative the reservoir situation is thought, reservoir generally have bury dark, temperature is high, general high-hydrogen sulfide in fluid, the individual well dynamic holdup is little, the poor characteristics of plane connectivity between well, oil gas water three phase or oil gas two-phase deposit in the production run pit shaft.These characteristics for seam hole type carbonate gas reservoirs, the present invention determines to adopt the short-term well testing is combined with the long-term production dynamic data and carries out the mode of dynamically describing, opposite joint hole type carbonate gas reservoirs is dynamically analyzed, to obtaining performance analysis result more comprehensively.

The present invention will be described below by specific embodiment.

Embodiment mono-

As shown in Figure 1, for the present embodiment is a kind of, stitch the process flow diagram of hole type carbonate gas reservoirs dynamic analysing method, specifically comprise the following steps:

Step 101, obtain long-term dynamics pressure data and long-term dynamics data on flows that short-term well test data, gas well flowing pressure gradient value and long-term production record;

Wherein, the above-mentioned data of obtaining are basic data, also can get other basic data simultaneously.

Basic data comprises:

1) basic parameter

Reservoir quality: factor of porosity φ, net thickness h, rock compressibility C _f, total compressibility C _t

Physical property of natural gas: gas gravity γ, volume factor B _g, compressibility coefficient C _g

2) completion parameter

Well type: straight well, horizontal well

Layer position: perforation layer position

Mineshaft diameter

The tubing and casing size

The oil nozzle size

Well stimulation

3) pressure, data on flows

Produce oil pressure data and oil gas aquatic products amount

Produce the casing pressure data

Test flowing pressure gradient data and oil gas aquatic products amount

Test static pressure gradient data

The pressure build-up test data

The deliverability testing data

Initial well head oil pressure data

The initial formation pressure data

The pressure gauge position data

4) temperature data

The wellhead temperature data

The formation temperature data

Step 102, calculate long-term dynamics sand face pressure data according to described long-term dynamics pressure data, long-term dynamics data on flows and described pit shaft gradient data;

Utilize above-mentioned pit shaft gradient data, described well head oil pressure data are calculated, the stream that obtains shaft bottom that converts is pressed data.If without the flowing pressure gradient test data, can carry out the pressure conversion according to Bei Gesi-Bu Lille Beggs-Brill method or Hagedorn-pit shaft polyphasic flow theories such as Blang Hagedorn-Brown method.

Due to, described sand face pressure data are for detecting for a long time the data that data are calculated in recovery process according to Oil/gas Well.Therefore, we can obtain the long-term pressure history data of Oil/gas Well to be analyzed by said method.

Step 103, be connected described long-term dynamics sand face pressure data with described short-term well test data, obtain stitching hole type carbonate gas reservoirs performance analysis data;

Described long-term well test data is connected mutually with the short-term well test data, sets up complete production well test data, comprise three column datas: the pressure data of time, correspondence and corresponding yield data.

Due to, the characteristics of described short-term well test data, be high precision but can only record the partial data of short-term, and the characteristics of long-term well test data are well test datas that can the long record shaft bottom but precision is not high.Therefore, this long-term well test data with the principle that is connected of short-term well test data is, preferential with the short-term well test data, supplements with long-term well test data without the part of short-term well test data record.The accuracy of the complete production well test data technical ability assurance data that obtain like this, can be taken into account recorded long-term integrity again.

Step 104, carry out modern well test analysis or modern Production Decline Analysis to described seam hole type carbonate gas reservoirs performance analysis data, obtains the complete dynamic model of carbonate gas reservoirs;

What described seam hole type carbonate gas reservoirs performance analysis data were carried out at first modern well test analysis adopt is to resolve the well test analysis method.So-called parsing well test analysis method is by pressure-pressure derivative double-log analytic approach, well test data to be analyzed, set up preliminary Oil/gas Well performance of the reservoir model, again with complete long-term production pressure fit to constraint condition this preliminary dynamic model is verified perfect, to obtain the complete analytical analysis dynamic model of Oil/gas Well place reservoir.

When described parsing well test analysis method was not enough to obtain the complete dynamic model of Oil/gas Well reservoir, described well test analysis also needed further to adopt the Numerical Well Test Analysis method.So-called Numerical Well Test Analysis method is on the basis as a result of described parsing well test analysis method, and place reservoir Profile Characteristics is carried out to the gridding adjustment, thereby obtains the complete numerical analysis dynamic model of Oil/gas Well place reservoir.Although described parsing well test analysis method and Numerical Well Test Analysis method are existing well test analysis method.But, because the described production well test data of the well test analysis that is used for being correlated with is connected acquisition according to the long-term production data mutually with the short-term well test data.Therefore, carry out based on this production well test data the dynamic model that above-mentioned well test analysis obtains, except parameter attributes such as the permeability that can well describe Oil/gas Well place reservoir, skin factors, can also well describe interwell communication and border distribution situation.This is usually only to analyze the short-term well test data to be difficult to realize, thereby is more perfect stratum condition is carried out to analysis and prediction lay the foundation.

If well test data is arranged, can when carrying out well test analysis, carry out modern Production Decline Analysis (if without well test data, production history data are carried out to modern Production Decline Analysis), set up parsing or numerical analysis dynamic model that Oil/gas Well place reservoir is complete, this model should be consistent with the model of setting up with well-logging method; If without well test data, should carry out modern Production Decline Analysis, set up parsing or numerical analysis dynamic model that Oil/gas Well place reservoir is complete.

Step 105, produce performance prediction according to the complete dynamic model of described carbonate gas reservoirs and real time data;

The described performance prediction of production based on complete dynamic model is to adopt given output, and the variation tendency method of simulated pressure realizes.Be given single well time and well head condition (minimum well head oil pressure), in the variation tendency of different output situation Imitating pressure, thereby obtain reasonably joining product.

In above-mentioned steps 105, the described performance prediction of production for Oil/gas Well generally comprises the prediction of two types, is respectively the constant-pressure type and produces performance prediction and fixed output quota amount type production performance prediction.By the complete dynamic model that above-mentioned well test analysis method obtains, be more suitable for being applied to fixed output quota amount type and produce performance prediction.And constant-pressure type production performance prediction is more suitable for predicting with the production dynamic model that modern Production Decline Analysis method obtains.It is exactly that sand face pressure remains unchanged that so-called constant-pressure type is produced performance prediction, the variation tendency of simulation output.

Therefore, the present invention is in above-mentioned steps 104 opposite joint hole type carbonate gas reservoirs performance analysis data are carried out the step of modern well test analysis, also be provided with these seam hole type carbonate gas reservoirs performance analysis data are carried out to modern Production Decline Analysis, with the step of the production dynamic model that obtains Oil/gas Well place reservoir.

So-called modern Production Decline Analysis method is to utilize the method for the modern typical curve match of successively decreasing to analyze described production data, thereby obtains the production dynamic model of Oil/gas Well place reservoir.In this production dynamic model, include reservoir permeability, skin factor, well control radius, the isoparametric description of well control reserves.The described typical curve fitting process that successively decreases is prior art, just repeats no more at this.

In addition, abovementioned steps 101 is collected well testing detection data collected in the step of well testing detection data and is likely had the data that are unsuitable for carrying out well test analysis.The result that these data meeting interference tests are analyzed.Therefore, the present invention also is provided with collected well testing is detected to the step that data are carried out test screen in this step 101, with screening, falls those and is unsuitable for carrying out the data of well test analysis.The means of screening mainly contain following several: the test duration is short, and pressure derivative is without straight-line segment, and the air water phase transformation affects, the pressure derivative confusion; The pressure testing data fluctuation is larger, can't make an explanation; Test output is very low, only has hundreds of side, tens sides even, and drawdown pressure is very large again; Due to the cementing quality existing problems, during test, alter layer, the explanation results ambiguity; In test process, pressure breakdown, can't the calculating pressure derivative in the recovery later stage.

Above our given seam hole type carbonate gas reservoirs dynamic analysing method be the dynamic analysing method for individual well, what obtain is also the production performance prediction of individual well.And many mouthfuls of well productions are often arranged usually in the same area in actual production environment, and between each well, may be have interactional.Therefore, we also are necessary on the basis of above-mentioned individual well performance analysis, the connectedness between each well to be analyzed.Specifically as shown in Figure 1, after above-mentioned steps 5, can also comprise the steps:

Step 106, carry out the interwell communication analysis according to described seam hole type carbonate gas reservoirs performance analysis data

The production performance prediction result that gathers each Oil/gas Well, and produce on the basis of performance prediction result at this, adopt the connectivity analysis method to analyze the connectedness between each well.So-called connectivity analysis method is that the connective correlation analysis algorithm by number of different types forms, and comprising: interference test method between geologic feature analogy method, pressure analysis, fluid properties discriminant analysis, production tracing analysis method and/or well.Wherein, the geologic feature analogy method refers to that the reservoir sedimentary environment is identical, and reservoir properties approaches.Pressure analysis refers under initial condition, being in same hydrodynamic system is balance between pressure everywhere, after oil reservoir drops into exploitation, if interwell communication, be that each well belongs to unit, same seam hole, each well of this oil reservoir unit is in same pressure system so, and pressure can transmit mutually, therefore after certain hour, oil (gas) is hidden will be in mobile equilibrium, as long as physical property and the fluid properties relative homogeneous of crude oil, the pressure drop meeting of each well is roughly the same, i.e. pressure drop trend is consistent.As different oil reservoirs unit, belong to different pressure systems, will have different reservoir pressure variation characteristics.The fluid properties discriminant analysis refers to adds up each well sample examination data, and the physical property of fluid (as density, viscosity etc.) in same oil (gas) is hidden should be basic identical, and the content of each component should be basically identical.Production tracing analysis method refers to when offset well is exploited, if be communicated with between well, the pressure of unminding well can descend with the exploitation of offset well, and it is basically identical with the well oil pressure downtrending of early stage exploitation that the later stage is dropped into the well oil pressure of exploitation.Between well, the interference test method is generally to using a bite well as perturbed well, during test, pass through to change the perturbed well working system, cause the variation of reservoir pressure, form undesired signal, in another mouthful well or several mouthfuls of observation wells, record because perturbed well changes the pressure variation that working system causes by high-grade pressure gauge simultaneously.Whether the situation of the undesired signal received from inspection well, can judge between perturbed well and inspection well and be communicated with, and according to the time and the rule that receive signal, can calculate the flow parameter between well simultaneously.Above-mentioned each dissimilar connectivity analysis algorithm is prior art, just no longer endures and states at this.

In addition, as previously mentioned, in the present invention, according to long-term well test data, mutually be connected acquisition with the short-term well test data owing to producing well test data, therefore the dynamic model obtained, except parameter attributes such as the permeability that can well describe Oil/gas Well place reservoir, skin factors, can also well be described the relevant border distribution situation.Utilize this advantage, we can also further provide the control method based on the well testing border outside above-mentioned connectivity analysis algorithm, and concrete steps are as follows:

1) well test analysis of each individual well in well group

2) determine initial formation pressure and boundary conditions

3) according to production time judgement initial formation pressure situation of change

4) according to the individual well border condition, judge between well whether intersection is arranged

5) multiple-well test analysis in well group, judgement connection situation.

Above-mentioned seam hole type carbonate gas reservoirs dynamic analysing method forms complete production well test data by long-term well test data is combined with the short-term well test data, solution gas reservoir that can be effectively dynamically describe in multiresolution issue, improve the utilization factor of well testing test data.Simultaneously, at this, produce on the well test data basis, utilize the means such as well test analysis and modern Production Decline Analysis, can better solve in oil-gas field development the various key issues that will run into: individual well gas deliverability, stable yields condition, the useful area of single well-controlled and dynamic holdup, the parameters such as the permeability on stratum.

Embodiment bis-

As shown in Figure 2, for the present invention is a kind of, stitch the structural drawing of hole type carbonate gas reservoirs dynamic analysis system, comprising:

Data capture unit 201, the long-term dynamics pressure data and the long-term dynamics data on flows that be used to obtaining short-term well test data, wellbore pressure gradient data and long-term production, record;

Sand face pressure computing unit 202, for calculating long-term dynamics sand face pressure data according to described long-term dynamics pressure data, long-term dynamics data on flows and described pit shaft gradient data;

Data-linkage unit 203, for described long-term dynamics sand face pressure data are connected with described short-term well test data, obtain stitching hole type carbonate gas reservoirs performance analysis data;

In the time range that described short-term well test data records, adopt this short-term well test data;

In the time range without described short-term well test data record, adopt described long-term dynamics sand face pressure data.

Well test analysis unit 204, for described seam hole type carbonate gas reservoirs performance analysis data are carried out to modern well test analysis, obtain the complete dynamic model of carbonate gas reservoirs;

The present embodiment is preferred, and this well test analysis unit comprises:

Analytical analysis subelement 2041, for passing through pressure-pressure derivative double-log analytic approach to described seam hole type carbonate gas reservoirs performance analysis data analysis, set up preliminary Oil/gas Well performance of the reservoir model; By long-term dynamics sand face pressure data fitting, be constraint condition; By described constraint condition, this preliminary Oil/gas Well performance of the reservoir model is verified perfectly, obtained the complete dynamic model of carbonate gas reservoirs;

Numerical analysis subelement 2042, when when described parsing examination analysis subelement, being not enough to obtain the complete dynamic model of carbonate gas reservoirs, described, carbonate gas reservoirs place reservoir Profile Characteristics is carried out to the gridding adjustment, obtain the numerical analysis dynamic model that carbonate gas reservoirs place reservoir is complete.

Production Decline Analysis unit 205, carry out modern Production Decline Analysis when carrying out well test analysis, sets up parsing or numerical analysis dynamic model that Oil/gas Well place reservoir is complete.

The present embodiment is preferred, and this Production Decline Analysis unit comprises following subelement:

Analytical analysis subelement 2051, for by the yield curve Fitting Analysis method of successively decreasing to described seam hole type carbonate gas reservoirs long-term dynamics sand face pressure data analysis, set up preliminary Oil/gas Well performance of the reservoir model;

Numerical analysis subelement 2052, when when described parsing examination analysis subelement, being not enough to obtain the complete dynamic model of carbonate gas reservoirs, described, carbonate gas reservoirs place reservoir Profile Characteristics is carried out to the gridding adjustment, obtain the numerical analysis dynamic model that carbonate gas reservoirs place reservoir is complete.

If without well test data, production history data are carried out to modern Production Decline Analysis, set up parsing or numerical analysis dynamic model that Oil/gas Well place reservoir is complete, this model should be consistent with the model of setting up with well-logging method; If without well test data, should carry out modern Production Decline Analysis, set up parsing or numerical analysis dynamic model that Oil/gas Well place reservoir is complete.

Production forecast unit 206, for producing performance prediction according to the complete dynamic model of described carbonate gas reservoirs and real time data.

The present embodiment is preferred, and this production forecast unit comprises:

Constant-pressure type production forecast subelement 2061, remain unchanged be used to making sand face pressure, and the variation tendency of simulation output, be suitable for described production dynamic model;

Fixed output quota amount type production forecast subelement 2062, remain unchanged be used to making output, and the variation tendency of simulated pressure, be suitable for described complete dynamic model.

The present embodiment is preferred, can also comprise connectivity analytic unit 207 between well, for according to described seam hole type carbonate gas reservoirs performance analysis data, carrying out the interwell communication analysis.

Embodiment tri-

As shown in Figure 3, be the well test analysis method process flow diagram of homogeneous gas reservoir:

Step 301, according to Well Test Design admission pressure instability given data;

Step 302, carry out double-log analysis analysis to the pressure instability given data with Well Testing Software; Primary data mainly comprises:

Pressure data, data on flows.

Ultimate principle and the computation process of chart board match are as follows: in physical quantity nondimensionalization part, we have defined respectively zero dimension pressure and non dimensional time, if two dimensionless parameters are taken the logarithm respectively, have

${\mathrm{lgt}}_D=\mathrm{lg\Δt}+\lg \frac{{\mathrm{\α}}_{t}K}{\mathrm{\φ\μ}{C}_t{r}_w^2}=\mathrm{lg\Δt}+\lg C_1$ （1）

${\mathrm{lgp}}_D=\mathrm{lg\Δp}+\lg \frac{\mathrm{Kh}}{{\mathrm{\α}}_p\mathrm{q\μB}}=\mathrm{lg\Δp}+{\mathrm{lgC}}_2$ （2）

Wherein: ${\mathrm{<figure-callout\; id="1"\; label="C"\; filenames="HDA00003559645400041.png"\; state="\{\{state\}\}">C</figure-callout>}}_1=\frac{{\mathrm{\&alpha;}}_{t}K}{\mathrm{\&phi;\&mu;}{C}_t{r}_w^2}\text{;}$ $C_2=\frac{\mathrm{Kh}}{{\mathrm{\&alpha;}}_p\mathrm{q\&mu;B}};$

In other words, zero dimension with have the dimension curve on log-log paper, only to differ a constant, if on log-log paper, draw respectively p _D～t _D/ C _DWith Δ p～Δ t curve, we just can ask for formation parameter according to match point, the ultimate principle of well testing double-log chart board match that Here it is.

As shown in Figure 5 a, at first on log-log paper, draw respectively p _D～t _D/ C _DWith Δ p～Δ t curve.

The transparent log-log paper that moves up and down, make observed pressure and derivative data with corresponding to certain C _De ^2SPressure and derivative curve match the best of value, record this curve value and be (C _De ^2S) _M, as shown in Figure 5 b.

Optional a bit as match point on transparent graph paper, read this on log-log paper and explain the coordinate figure on enamelled paper, (Δ p) _M, (Δ t) _M, (p _D) _M, (t _D/ C _D) _M.

According to the pressure match value, can ask for permeability capacity

$\mathrm{Kh}={\mathrm{\&alpha;}}_p\mathrm{q\&mu;B}{\left[\frac{p_D}{\mathrm{\&Delta;p}}\right]}_M$

Definition according to non dimensional time and zero dimension wellbore storage, have

$\frac{t_D}{C_D}=\frac{{\mathrm{\&alpha;}}_t\mathrm{Kt}}{\mathrm{\&phi;\&mu;}{C}_t{r}_w^2}\&times;\frac{\mathrm{\&phi;}{C}_t{\mathrm{hr}}_w^2}{{\mathrm{\&alpha;}}_{c}C}=\frac{{\mathrm{\&alpha;}}_t\mathrm{Kht}}{{\mathrm{\&alpha;}}_c\mathrm{C\&mu;}}$

According to the time match value, can ask for wellbore storage constant

$C=\frac{{\mathrm{\&alpha;}}_t\mathrm{Kh}}{{\mathrm{\&alpha;}}_c\mathrm{\&mu;}{\left[\frac{t_D/C_D}{\mathrm{\&Delta;t}}\right]}_M}$

According to (the C read _De ^2S) _M, can ask for the size of skin factor

$S=0.5\ln \frac{{\left[C_D{e}^{2S}\right]}_M}{C_D}$

The fit procedure of the infinitely great stratum of homogeneous double-log analysis that Here it is, namely carry out pressure match, time match up and down, records corresponding match point, formation parameter calculation;

Step 303, adopt the production history to carry out modern Production Decline Analysis for constraint, determines Reservoir type, and the pit shaft that obtains reservoir permeability, boundary parameter and well preserves constant, skin factor;

Fit procedure and well test analysis process are similar, only the definition difference of nondimensional number.The constraint condition of match is that to be not only the double logarithmic curve match better, and make the pressure data of production history also want match better.

It should be noted that, when well test data was arranged without production history data, this step can be ignored, and directly by step 302, enters step 304.

Step 304, be configured to the complete dynamic model of carbonate gas reservoirs by above-mentioned parameter.

If production history data are arranged without well test data, production history data are carried out to modern Production Decline Analysis, determine Reservoir type, the pit shaft that obtains reservoir permeability, boundary parameter and well preserves constant, skin factor etc., and above-mentioned parameter is configured to the complete dynamic model of carbonate gas reservoirs.

As shown in Figure 4, be Blasingame Blasingame analytical approach process flow diagram:

In the closed circle gas reservoir, there is a bite gas well to produce with varying flow rate, change sand face pressure form.Initial formation pressure is 30MPa, and formation temperature is 80 ℃, and Effective thickness of formation is 10m, and factor of porosity is 0.1, and closed boundary is 500m, and individual well well control reserves are 2.0 * 10 ⁸m ³, the rock gas relative density is 0.6, intends critical temperature 195.697K, intends emergent pressure 4.66875MPa, and the well test analysis permeability is 2.0mD, and skin factor is-5.52, and the production time is 800d, accumulation aerogenesis 11813 * 10 ⁴m ³, fluid viscosity is 0.0228mPa.s, rock compressibility is 4.35113 * 10 ^-4MPa ^-1, under initial condition, gas compressive coefficient is 0.0246MPa ^-1, under initial condition, gas volume factor is 0.0039497.Calculation procedure is as follows:

The iterative analysis process of ignoring G, directly suppose well control reserves G=2.0 * 10 ⁸m ³, solve analytic process as follows:

Step 401, substance for calculation balance match time and Regularization output parameter

Calculate mean reservoir pressure, Regularization pseudotime, Regularization output, Regularization output integration, Regularization output integral derivative data.

Step 402, Regularization output, Regularization output integration, Regularization output integral derivative and the material drawn under the G situation are flat

Weighing apparatus time double logarithmic curve, namely

As shown in Figure 6.

Step 403, carry out match by A well production history curve (Fig. 6) and theoretical curve plate, and result as shown in Figure 7,8.

Step 404, record zero dimension well control radius r according to fitting result _ED=20.

Step 405, calculate permeability.

Select any one match point, for the purpose of aspect, record theoretical fitting point (t _CaDd, q _Dd) _MPFor (1,0.1) _MP; Corresponding actual match point

For (101,47) _MP.

According to the output match point, utilize following formula to determine the size of permeability, if, by legal SI system of units, have

$K=\frac{{(q/{\mathrm{\&Delta;p}}_p)}_{\mathrm{MP}}}{{\left(q_{\mathrm{Dd}}\right)}_{\mathrm{MP}}}\frac{\mathrm{\&mu;B}}{2\mathrm{\&pi;h}}({\ln r}_{\mathrm{eD}}-\frac{1}{2})$

$=\frac{1.866\&times;(47\&times;1000)\&times;0.0228\&times;0.0039497\&times;(\ln 20-0.5)}{0.1\&times;10}$

$=1.98\mathrm{mD}$

Step 406, calculate effective wellbore radius and skin factor.

The r that utilizes time match point and step 404 to determine _ED, calculate effective wellbore radius r according to following formula _WaIf, by legal SI system of units, have

$r_{\mathrm{wa}}=\sqrt{\frac{3.6\&times;{10}^{-3}\&times;2K/{\mathrm{\&phi;\&mu;C}}_t}{(r_{\mathrm{eD}}^2-1)({\ln r}_{\mathrm{eD}}-\frac{1}{2})}{\left(\frac{24\&times;t_{\mathrm{ca}}}{t_{\mathrm{caDd}}}\right)}_{\mathrm{MP}}}$

$=\sqrt{\frac{3.6\&times;{10}^{-3}\&times;2\&times;1.98}{0.1\&times;0.0228\&times;0.0246({20}^2-1)(\ln 20-\frac{1}{2})}\left(\frac{24\&times;101}{1}\right)}=24.86m$

By following formula, calculate the epidermis coefficient S

$S=\ln \frac{r_w}{r_{\mathrm{wa}}}=\ln \frac{0.1}{24.86}=-5.52$

Step 407, calculate the well control radius.

r _e=r _war _eD=24.86×20=497.2m

Or calculate the well control radius according to following formula

$r_e=\sqrt{\frac{\frac{B}{C_t}{\left(\frac{t_{\mathrm{ca}}}{t_{\mathrm{caDd}}}\right)}_{\mathrm{MP}}{\left(\frac{q/{\mathrm{\&Delta;p}}_p}{q_{\mathrm{Dd}}}\right)}_{\mathrm{MP}}}{\mathrm{\&pi;h\&phi;}}}$

$=\sqrt{\frac{\frac{0.0039497}{0.0246}{\left(\frac{24\&times;101}{1}\right)}_{\mathrm{MP}}{\left(\frac{47\&times;1000}{0.1}\right)}_{\mathrm{MP}}}{3.14\&times;10\&times;0.1}}=492.7m$

By following formula, calculated the size of well control reserves,

$G=\frac{1}{C_t}{\left(\frac{t_{\mathrm{ca}}}{t_{\mathrm{caDd}}}\right)}_{\mathrm{MP}}{\left(\frac{q/{\mathrm{\&Delta;p}}_p}{q_{\mathrm{Dd}}}\right)}_{\mathrm{MP}}(1-S_w)$

$=\frac{1}{0.0246}{\left(\frac{101}{1}\right)}_{\mathrm{MP}}{\left(\frac{47\&times;1000}{0.1}\right)}_{\mathrm{MP}}$

$=1.93\&times;{10}^8{m}^3$

Step 408, be configured to the complete dynamic model of carbonate gas reservoirs by above-mentioned parameter;

Embodiment tetra-

As shown in Figure 9, be the process flow diagram of production forecast process of the present invention.

Step 901, given flowing pressure, the variation tendency of forecast production;

Step 902, given output, the variation tendency of prediction sand face pressure;

As, in tower the 62-2 well after with well testing and dynamic analysing method, having determined the dynamic model of well, can setting pressure or output carry out the individual well performance prediction.As, if this well is with 7.0 * 10 ⁴m ³The output of/d is produced, can stable yields more than 2 years. and as shown in figure 10, during for the fixed output quota amount, pressure trend figure, identified the situation when stream is pressed as 25MPa in figure; If this well carries out level pressure production with the pressure of 25MPa, change of production trend as shown in figure 11.

In sum, the invention provides a kind of seam hole type carbonate gas reservoirs dynamic analysing method, the method forms complete production well test data by long-term well test data is combined with the short-term well test data, solution gas reservoir that can be effectively dynamically describe in multiresolution issue, improve the utilization factor that well testing detects data.Simultaneously, at this, produce on the well test data basis, utilize the means such as well test analysis and modern Production Decline Analysis, can better solve in oil-gas field development the various key issues that will run into: individual well gas deliverability, stable yields condition, the useful area of single well-controlled and dynamic holdup, the parameters such as the permeability on stratum.Persons skilled in the art any not creative transformation of doing under this design philosophy, all should be considered as within protection scope of the present invention.

Claims (11)

1. a seam hole type carbonate gas reservoirs dynamic analysing method, is characterized in that, comprising:

Obtain long-term dynamics pressure data and long-term dynamics data on flows that short-term well test data, wellbore pressure gradient data and long-term production record;

According to described long-term dynamics pressure data, long-term dynamics data on flows and described pit shaft gradient data, calculate long-term dynamics sand face pressure data;

Described long-term dynamics sand face pressure data are connected with described short-term well test data, obtain stitching hole type carbonate gas reservoirs performance analysis data;

Described seam hole type carbonate gas reservoirs performance analysis data are carried out to modern well test analysis or modern Production Decline Analysis, obtain the complete dynamic model of carbonate gas reservoirs;

According to the complete dynamic model of described carbonate gas reservoirs and real time data, produce performance prediction.

2. the method for claim 1, is characterized in that, also comprises:

According to described seam hole type carbonate gas reservoirs performance analysis data, carry out the interwell communication analysis.

3. the method for claim 1, is characterized in that, described described long-term dynamics sand face pressure data are connected and are specially with described short-term well test data:

In the time range that described short-term well test data records, adopt this short-term well test data;

In the time range without described short-term well test data record, adopt described long-term dynamics sand face pressure data.

4. the method for claim 1, is characterized in that, described modern well test analysis comprises analytical technique, is specially:

By pressure-pressure derivative double-log analytic approach, to described seam hole type carbonate gas reservoirs performance analysis data analysis, set up preliminary Oil/gas Well performance of the reservoir model;

By long-term dynamics sand face pressure data fitting, be constraint condition;

By described constraint condition, this preliminary Oil/gas Well performance of the reservoir model is verified perfectly, obtained the complete dynamic model of carbonate gas reservoirs.

5. method as claimed in claim 4, is characterized in that, described modern well test analysis also comprises the Numerical Well Test Analysis method, when when described parsing well test analysis method, being not enough to obtain the complete dynamic model of carbonate gas reservoirs, specifically comprises:

Described, carbonate gas reservoirs place reservoir Profile Characteristics is carried out to the gridding adjustment, obtain the numerical analysis dynamic model that carbonate gas reservoirs place reservoir is complete.

6. the method for claim 1 is characterized in that:

Describedly according to the complete dynamic model of described carbonate gas reservoirs and real time data, produce performance prediction and comprise that the constant-pressure type is produced performance prediction and fixed output quota amount type is produced performance prediction, wherein,

Described constant-pressure type is produced performance prediction: make sand face pressure remain unchanged, the variation tendency of simulation output, be suitable for described production dynamic model;

Described fixed output quota amount type is produced performance prediction: make output remain unchanged, the variation tendency of simulated pressure, be suitable for described complete dynamic model.

7. a seam hole type carbonate gas reservoirs dynamic analysis system, is characterized in that, comprising:

Data capture unit, the long-term dynamics pressure data and the long-term dynamics data on flows that be used to obtaining short-term well test data, wellbore pressure gradient data and long-term production, record;

The sand face pressure computing unit, for calculating long-term dynamics sand face pressure data according to described long-term dynamics pressure data, long-term dynamics data on flows and described pit shaft gradient data;

The data-linkage unit, for described long-term dynamics sand face pressure data are connected with described short-term well test data, obtain stitching hole type carbonate gas reservoirs performance analysis data;

Well test analysis and Production Decline Analysis unit, for described seam hole type carbonate gas reservoirs performance analysis data are carried out to modern well test analysis or modern Production Decline Analysis, obtain the complete dynamic model of carbonate gas reservoirs;

The production forecast unit, for producing performance prediction according to the complete dynamic model of described carbonate gas reservoirs and real time data.

8. system as claimed in claim 7, is characterized in that, also comprises connectivity analytic unit between well, for according to described seam hole type carbonate gas reservoirs performance analysis data, carrying out the interwell communication analysis.

9. system as claimed in claim 7, is characterized in that, described data-linkage unit specifically for:

In the time range that described short-term well test data records, adopt this short-term well test data;

In the time range without described short-term well test data record, adopt described long-term dynamics sand face pressure data.

10. system as claimed in claim 7, is characterized in that, described well test analysis unit comprises:

The analytical analysis subelement, for passing through pressure-pressure derivative double-log analytic approach to described seam hole type carbonate gas reservoirs performance analysis data analysis, set up preliminary Oil/gas Well performance of the reservoir model; By long-term dynamics sand face pressure data fitting, be constraint condition; By described constraint condition, this preliminary Oil/gas Well performance of the reservoir model is verified perfectly, obtained the complete dynamic model of carbonate gas reservoirs;

The numerical analysis subelement, when when described parsing examination analysis subelement, being not enough to obtain the complete dynamic model of carbonate gas reservoirs, described, carbonate gas reservoirs place reservoir Profile Characteristics is carried out to the gridding adjustment, obtain the numerical analysis dynamic model that carbonate gas reservoirs place reservoir is complete.

11. system as claimed in claim 7, is characterized in that, described production forecast unit comprises:

Constant-pressure type production forecast subelement, remain unchanged be used to making sand face pressure, and the variation tendency of simulation output, be suitable for described production dynamic model;

Fixed output quota amount type production forecast subelement, remain unchanged be used to making output, and the variation tendency of simulated pressure, be suitable for described complete dynamic model.

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