CN114439460A - Well testing analysis method for large pore canal of offshore loose sandstone reservoir - Google Patents

Well testing analysis method for large pore canal of offshore loose sandstone reservoir Download PDF

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Publication number
CN114439460A
CN114439460A CN202210059284.6A CN202210059284A CN114439460A CN 114439460 A CN114439460 A CN 114439460A CN 202210059284 A CN202210059284 A CN 202210059284A CN 114439460 A CN114439460 A CN 114439460A
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China
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large pore
well
model
reservoir
permeability
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CN202210059284.6A
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Inventor
李鹏
未志杰
周文胜
唐恩高
梁丹
王旭东
刘玉洋
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Beijing Research Center of CNOOC China Ltd
CNOOC China Ltd
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Beijing Research Center of CNOOC China Ltd
CNOOC China Ltd
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Priority to CN202210059284.6A priority Critical patent/CN114439460A/en
Publication of CN114439460A publication Critical patent/CN114439460A/en
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • E21B47/001Survey of boreholes or wells for underwater installation
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • E21B47/06Measuring temperature or pressure
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • E21B47/26Storing data down-hole, e.g. in a memory or on a record carrier
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Abstract

The invention relates to a well testing analysis method for a large pore canal of an offshore loose sandstone reservoir, which comprises the following steps: measuring the bottom hole pressure change of the field production well in a period of closing the well to obtain the change relation between the bottom hole pressure difference and the time; establishing a plurality of preset models with large pore channels, and setting the initial parameters and the working parameters of each preset model to be the same; setting large channels with different permeability sizes for each preset model, and analyzing the time-dependent change relationship of bottom hole pressure difference of a production well in the preset model corresponding to the large channels with different permeability sizes; selecting the large pore path permeability corresponding to the preset model with the best fitting change relationship as an interpretation parameter of the production well; analyzing the seepage condition of the on-site production well according to the interpretation parameters corresponding to the preset model, and identifying and diagnosing the development condition of large pore canals around the on-site well. The pressure interpretation carried out by the method provides a basis for reasonable development of the production well, formulation and adjustment of a working system and an efficient development technology of the offshore oil field.

Description

Well testing analysis method for large pore canal of offshore loose sandstone reservoir
Technical Field
The invention relates to the field of petroleum development, in particular to a well testing analysis method for a large pore canal of an offshore loose sandstone reservoir.
Background
Various dynamic monitoring analyses show that, due to the long-term scouring action of water injection, a large pore passage which is dozens of times or even hundreds of times of the original pore passage and is communicated with each other is formed at a specific part of an oil reservoir microscopically, and a high-speed cross flow strip is formed between oil wells and water macroscopically, so that the water injection speed is high when the water injection suddenly enters the oil wells, and the water content is quickly increased. Development practices of oil fields such as SZ36-1, JZ9-3 and the like show that: even if the width of a large pore channel formed in a loose sandstone reservoir is small, the water absorption of a layer where the large pore channel is located in the longitudinal direction accounts for more than 90% of the total amount, the large pore channel permeability explained by the inter-well tracer test result is far higher than the average permeability of the reservoir and the core analysis permeability, and the large pore channel permeability is found to show a gradually increasing trend along with the prolonging of the production time, so that the large pore channel development is aggravated by long-term water injection, the large pore channel development is caused by long-term water injection, the injected water is unidirectionally propelled, and the water is quickly seen along part of production wells on a path with better physical properties. These phenomena are closely related to the formation of large channels by long-term waterflooding of unconsolidated sandstone reservoirs.
At present, the influence research of the large pore canal on development of the unconsolidated sandstone reservoir by water injection development at home and abroad focuses on the analysis of the production dynamic rule, and the theoretical calculation research is not much; although some foreign scholars propose mathematical models to characterize and calculate quantitative parameters of a development large pore, the quantitative parameters are developed by means of tracer monitoring results, the cost is high, the workload is high, the continuous monitoring requirement is high, the construction period is long, the assumed conditions of the existing models are too simplified, and most of water injection development large pores cannot be effectively diagnosed and analyzed. Most of the existing recognitions are also that the influence of large pore canal development on macroscopic levels such as well pattern deployment adjustment, oil field recovery ratio and the like is analyzed from the perspective of oil reservoir engineering, and the evolution development of large pore canals is usually faster and more microscopic.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a well testing analysis method for a large pore canal of an offshore loose sandstone reservoir, which is used for identifying the development forming condition of the large pore canal and the representation of specific parameters and providing a theoretical basis for the next step of profile control and water shutoff work so as to improve the development effect.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a well testing analysis method for a large pore canal of an offshore loose sandstone reservoir, which is characterized by comprising the following steps of:
measuring the bottom hole pressure change of the field production well in a period of closing the well to obtain the change relation between the bottom hole pressure difference and the time;
combining well drilling and completion and geological data, establishing a plurality of preset models with large pore canals by utilizing numerical reservoir simulation software, and setting the same initial parameters of the preset models and the same working parameters of production wells in the preset models and field production wells;
setting large channels with different permeability sizes for each preset model, and analyzing the time-dependent change relationship of bottom hole pressure difference of a production well in the preset model corresponding to the large channels with different permeability sizes;
judging whether the variation relation of the bottom hole pressure difference of the on-site production well along with the time is in accordance with the variation relation of the bottom hole pressure difference in each model along with the time, and selecting the large pore passage permeability corresponding to the preset model with the best variation relation fitting as an interpretation parameter of the production well;
analyzing the seepage condition of the on-site production well according to the interpretation parameters corresponding to the preset model, and identifying and diagnosing the development condition of large pore canals around the on-site well.
Preferably, each preset model is respectively provided with large channels with different permeability, and analyzing the time-dependent change relationship of the bottom hole pressure difference of the production well in the preset model corresponding to the large channels with different permeability comprises:
preliminarily determining the change range of the large pore permeability based on the existing large pore monitoring data of the target oil field;
and referring to the preliminarily determined large pore passage permeability change range, equally dividing the permeability interval into a plurality of parts, wherein each part corresponds to a preset model, and setting each preset model as the large pore passage permeability corresponding to the equal part.
Preferably, the step of judging whether the variation relation of the bottom hole pressure difference of the field production well along with the time is in accordance with the variation relation of the bottom hole pressure difference along with the time in each model, and the step of selecting the large pore passage permeability with the best variation relation fitting as the interpretation parameter of the production well comprises the following steps:
based on preset models corresponding to different large pore permeability, drawing the change relation of the bottom-hole pressure difference of the production well in each model along with time to form a relation curve chart;
and fitting the variation relation of the bottom hole pressure difference of the production well obtained by field measurement along with time with the variation relation of the bottom hole pressure difference of the production well corresponding to each preset model along with time, and selecting the large pore passage permeability corresponding to the relation curve with the best fitting effect as the interpretation parameter of the field production well.
Preferably, the method for establishing a plurality of preset models with large pore canals by using reservoir numerical simulation software by combining the well drilling and completion and geological data comprises the following steps:
collecting, sorting and analyzing basic data;
selecting an oil reservoir numerical simulation model;
establishing an oil reservoir numerical simulation model;
and debugging the numerical reservoir simulation model.
Preferably, the basic data comprises static parameters, reservoir fluid parameters, rock fluid parameters, reservoir initial conditions and production dynamic parameters.
Preferably, the numerical reservoir simulation model is a black oil model, a composition model or a chemical flooding model.
Preferably, the establishment of the numerical reservoir simulation model comprises the following steps:
setting an input/output control module;
carrying out grid definition and oil reservoir top surface depth, stratum thickness, effective thickness, porosity, permeability and water body definition;
defining a fluid component module, wherein a black oil model comprises PVT characteristics, density, viscosity and compression coefficient of oil-water-gas; the component model comprises critical characteristics, molar mass, density, and molar contents of liquid phase and vapor phase under different pressures of each component; the chemical flooding model comprises interfacial tension change, adsorption data and residual resistance factors;
defining rock fluid characteristics, wherein the fluid comprises oil-water phase seepage and oil-gas phase seepage;
defining initial conditions including saturation profile, pressure profile, dissolved gas and bubble point pressure;
production dynamics modules are defined, including production wells, production dates of injection wells, daily production, history fits and project predictions.
In a second aspect, the present invention also provides a well testing analysis device for large pore canals of offshore unconsolidated sandstone reservoirs, comprising:
the first processing unit is used for measuring the bottom hole pressure change of the field production well in a period of closing the well to obtain the change relation between the bottom hole pressure difference and the time;
the second processing unit is used for combining well drilling and completion and geological data, establishing a plurality of preset models with large pore canals by utilizing numerical reservoir simulation software, and setting the same initial parameters of the preset models and the same working parameters of production wells in the preset models and field production wells;
the third processing unit is used for setting large channels with different permeability sizes for each preset model respectively and analyzing the change relation of bottom hole pressure difference of the production well in the preset model corresponding to the large channels with different permeability sizes along with time;
and the fourth processing unit is used for analyzing the seepage condition of the field production well according to the interpretation parameters corresponding to the preset model and identifying and diagnosing the development condition of large pore canals around the field well.
In a third aspect, the present invention further provides a computer readable storage medium storing a computer program, which when executed by a processor, implements the well testing analysis method for offshore unconsolidated sandstone reservoir large pore canals.
In a fourth aspect, the present invention provides a computer device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the well testing analysis method for offshore unconsolidated sandstone reservoir large pore canals when executing the computer program.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the invention provides a large-pore channel identification diagnosis well testing analysis method based on plate curve fitting, pressure interpretation carried out by the method is more in line with actual conditions, the accuracy of the pressure interpretation is improved, and a basis is provided for the rational development of a production well and the establishment and adjustment of a working system as well as the improvement of the next offshore oil field high-efficiency development technology.
2. The method identifies and diagnoses the large pore canal based on the pressure measuring data, is simple, convenient and convenient, is convenient to implement, and provides reliable basis for accurately guiding and adjusting the working system in the next step according to the diagnosis result;
drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like reference numerals refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a curve diagram of time-varying relationship between bottom hole pressure and pressure derivative corresponding to each preset model analyzed by a well testing analysis method for a large pore path of an offshore unconsolidated sandstone reservoir;
FIG. 2 is a graphical representation of the bottom hole pressure differential versus time for a well test analysis method for large pore channels of an offshore unconsolidated sandstone reservoir.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The embodiment of the invention provides a well testing analysis method for a large pore canal of an offshore loose sandstone reservoir, which is used for solving the problems existing in the process of treating the large pore canal by adopting a profile control water plugging mode in the prior art, providing guidance for identification and diagnosis of the large pore canal and providing a basis for the improvement of the next offshore oil field high-efficiency development technology.
The well testing analysis method of the large pore canal of the offshore loose sandstone reservoir comprises the following steps:
1) and measuring the bottom hole pressure change of an on-site production well in a period of closing the well to obtain the change relation between the pressure difference and the time.
According to an embodiment of the invention, the variation relationship comprises a pressure versus time relationship and a derivative of the pressure versus time relationship.
2) Combining well drilling and completion and geological data, establishing a plurality of injection and production mechanism preset models with large pore canals by utilizing numerical reservoir simulation software, and setting the initial parameters of the preset models to be the same, wherein the initial parameters comprise static parameters, reservoir fluid parameters, rock fluid parameters, reservoir initial conditions and production dynamic parameters required for establishing the numerical reservoir simulation model;
3) preliminarily determining the change range of the large pore permeability based on the existing large pore monitoring data of the target oil field;
4) referring to the preliminarily determined large pore passage permeability change range, equally dividing a permeability interval into a plurality of parts, wherein each equally divided permeability corresponds to one preset model, and the equally divided permeabilities are respectively set as the current large pore passage permeability in each preset model;
5) setting the same working parameters of the production well in the model and the field production well; specifically, the working parameters comprise the same yield and well switching time of the production well and the field production well;
6) based on preset models corresponding to different large pore permeability, drawing the change relationship of the bottom-hole pressure difference of the production well in each model along with time to form a relationship curve chart, as shown in fig. 1 and 2; wherein fig. 1 is a variation curve of pressure and pressure derivative of each preset model with time, a curve cluster in fig. 1 is that the permeability of a large pore passage is gradually increased from top to bottom, the curves in fig. 1 are divided into two types, the upper part is a pressure curve cluster, and the lower part is a pressure derivative curve cluster. Each large pore permeability corresponds to one pressure curve and pressure derivative curve, and the total number is 2. Fig. 2 is a graph showing the change of the pressure difference of each preset model along with time, and the permeability of the large pore passage gradually increases from top to bottom in the graph cluster in fig. 2.
7) And fitting the variation relation of the bottom hole pressure difference of the production well obtained by field measurement along with time with the variation relation value corresponding to the preset model, and selecting the large pore passage permeability corresponding to the relation curve with the best fitting effect as the interpretation parameter of the production well.
The invention provides a large-pore channel identification diagnosis well testing analysis method based on plate curve fitting, pressure interpretation carried out by the method is more in line with actual conditions, the accuracy of the pressure interpretation is improved, and a basis is provided for the rational development of a production well and the establishment and adjustment of a working system as well as the improvement of the next offshore oil field high-efficiency development technology. The large pore is identified and diagnosed based on the pressure measurement data, the method is simple, convenient and convenient to implement, and the diagnosis result provides a reliable basis for accurately guiding and adjusting the working system in the next step;
finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A well testing analysis method for a large pore canal of an offshore loose sandstone reservoir is characterized by comprising the following steps:
measuring the bottom hole pressure change of the field production well in a period of closing the well to obtain the change relation between the bottom hole pressure difference and the time;
combining well drilling and completion and geological data, establishing a plurality of preset models with large pore canals by utilizing numerical reservoir simulation software, and setting the same initial parameters of the preset models and the same working parameters of production wells in the preset models and field production wells;
setting large channels with different permeability sizes for each preset model, and analyzing the time-dependent change relationship of bottom hole pressure difference of a production well in the preset model corresponding to the large channels with different permeability sizes;
judging whether the variation relation of the bottom hole pressure difference of the on-site production well along with the time is in accordance with the variation relation of the bottom hole pressure difference in each model along with the time, and selecting the large pore passage permeability corresponding to the preset model with the best variation relation fitting as an interpretation parameter of the production well;
analyzing the seepage condition of the on-site production well according to the interpretation parameters corresponding to the preset model, and identifying and diagnosing the development condition of large pore canals around the on-site well.
2. The well testing analysis method for the offshore loose sandstone reservoir large pore channels as claimed in claim 1, wherein each preset model is respectively provided with large pore channels with different permeabilities, and the analysis of the change relationship of the bottom hole pressure difference of the production well in the preset model corresponding to the large pore channels with different permeabilities along with time comprises the following steps:
preliminarily determining the change range of the large pore permeability based on the existing large pore monitoring data of the target oil field;
and referring to the preliminarily determined large pore passage permeability change range, equally dividing the permeability interval into a plurality of parts, wherein each part corresponds to a preset model, and setting each preset model as the large pore passage permeability corresponding to the equal part.
3. The well testing analysis method for the offshore loose sandstone reservoir large pore canal as claimed in claim 1, wherein the step of judging whether the variation relationship of the bottom-hole pressure difference of the field production well along with the time is consistent with the variation relationship of the bottom-hole pressure difference along with the time in each model, and the step of selecting the large pore canal permeability with the best fitting variation relationship as the interpretation parameter of the production well comprises the following steps:
based on preset models corresponding to different large pore permeability, drawing the change relation of the bottom-hole pressure difference of the production well in each model along with time to form a relation curve chart;
and fitting the variation relation of the bottom hole pressure difference of the production well obtained by field measurement along with time with the variation relation of the bottom hole pressure difference of the production well corresponding to each preset model along with time, and selecting the large pore passage permeability corresponding to the relation curve with the best fitting effect as the interpretation parameter of the field production well.
4. The well testing analysis method for the offshore unconsolidated sandstone reservoir large pore canals as claimed in claim 1, wherein the step of establishing a plurality of preset models with large pore canals by using reservoir numerical simulation software in combination with well drilling and completion and geological data comprises the following steps:
collecting, sorting and analyzing basic data;
selecting an oil reservoir numerical simulation model;
establishing an oil reservoir numerical simulation model;
and debugging the numerical reservoir simulation model.
5. The well testing analysis method for the offshore unconsolidated sandstone reservoir large pore channel according to claim 4, wherein the basic data comprises static parameters, reservoir fluid parameters, rock fluid parameters, reservoir initial conditions, and production dynamic parameters.
6. The well testing analysis method for the offshore unconsolidated sandstone reservoir large pore canals according to claim 4, wherein the reservoir numerical simulation model is a black oil model, a composition model or a chemical flooding model.
7. The well testing analysis method for the offshore unconsolidated sandstone reservoir large pore canal as claimed in claim 6, wherein the establishment of the reservoir numerical simulation model comprises the following steps:
setting an input/output control module;
defining the depth of grids and the top surface of an oil reservoir, the thickness of a stratum, the effective thickness, the porosity, the permeability and the water body;
defining fluid component parameters, wherein a black oil model comprises PVT characteristics, density, viscosity and compression coefficient of oil-water-gas; the component model comprises critical characteristics, molar mass, density, and molar contents in liquid phase and vapor phase at different pressures; the chemical flooding model comprises interfacial tension change, adsorption data and residual resistance factors;
defining rock fluid characteristics, wherein the fluid comprises oil-water phase seepage and oil-gas phase seepage;
defining initial conditions including saturation profile, pressure profile, dissolved gas and bubble point pressure;
production dynamics parameters are defined including production well, injection well on-stream date, daily production, history fit and project prediction.
8. A well testing analytical equipment for offshore loose sandstone reservoir large pore canal, its characterized in that includes:
the first processing unit is used for measuring the bottom hole pressure change of the field production well in a period of closing the well to obtain the change relation between the bottom hole pressure difference and the time;
the second processing unit is used for combining well drilling and completion and geological data, establishing a plurality of preset models with large pore canals by utilizing numerical reservoir simulation software, and setting the same initial parameters of the preset models and the same working parameters of production wells in the preset models and field production wells;
the third processing unit is used for setting large channels with different permeability sizes for each preset model respectively and analyzing the change relation of bottom hole pressure difference of the production well in the preset model corresponding to the large channels with different permeability sizes along with time;
and the fourth processing unit is used for analyzing the seepage condition of the field production well according to the interpretation parameters corresponding to the preset model and identifying and diagnosing the development condition of large pore canals around the field well.
9. A computer-readable storage medium, characterized in that a computer program is stored which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7 for well testing analysis of large channels of offshore unconsolidated sandstone reservoirs.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method of any one of claims 1 to 7 for well testing analysis of large channels of offshore unconsolidated sandstone reservoirs.
CN202210059284.6A 2022-01-19 2022-01-19 Well testing analysis method for large pore canal of offshore loose sandstone reservoir Pending CN114439460A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116341393A (en) * 2023-05-26 2023-06-27 中国石油大学(华东) Automatic unsteady state well test interpretation method, device, equipment and medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116341393A (en) * 2023-05-26 2023-06-27 中国石油大学(华东) Automatic unsteady state well test interpretation method, device, equipment and medium
CN116341393B (en) * 2023-05-26 2023-08-04 中国石油大学(华东) Automatic unsteady state well test interpretation method, device, equipment and medium

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