CN110671104B - Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation - Google Patents

Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation Download PDF

Info

Publication number
CN110671104B
CN110671104B CN201911061086.8A CN201911061086A CN110671104B CN 110671104 B CN110671104 B CN 110671104B CN 201911061086 A CN201911061086 A CN 201911061086A CN 110671104 B CN110671104 B CN 110671104B
Authority
CN
China
Prior art keywords
well
interference
formation pressure
pressure data
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911061086.8A
Other languages
Chinese (zh)
Other versions
CN110671104A (en
Inventor
杨敏
龙喜彬
潜欢欢
林加恩
韩章英
巫波
金燕林
李青
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Petroleum and Chemical Corp
Sinopec Northwest Oil Field Co
Original Assignee
China Petroleum and Chemical Corp
Sinopec Northwest Oil Field Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Petroleum and Chemical Corp, Sinopec Northwest Oil Field Co filed Critical China Petroleum and Chemical Corp
Priority to CN201911061086.8A priority Critical patent/CN110671104B/en
Publication of CN110671104A publication Critical patent/CN110671104A/en
Application granted granted Critical
Publication of CN110671104B publication Critical patent/CN110671104B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells

Abstract

The invention discloses a method for explaining parameters among fracture-cavity type oil reservoir wells based on interference well testing explanation, wherein the method comprises the following steps: acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment; obtaining inter-well parameters based on interference well testing actual measurement; determining a flow storage coefficient between the exciting well and the observation well according to the second formation pressure data, the second formation pressure data and the well-to-well parameters, wherein the flow storage coefficient is specifically as follows: the product of the permeability data and the cavern volume data. The invention provides a method for explaining parameters among fracture-cavity oil reservoirs based on interference well testing explanation, which is used for comprehensively explaining related parameters of the storage capacity and the flow capacity of an interwell fracture-cavity system which cannot be explained by conventional interference well testing when the wells are communicated by the fracture-cavity system, so that the inter-well parameter explanation of the interference well testing of the fracture-cavity oil reservoirs is realized.

Description

Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation
Technical Field
The invention relates to the technical field of interference well testing interpretation, in particular to a method for interpreting parameters among fracture-cavity type oil reservoir wells based on interference well testing interpretation.
Background
The existing interpretation method for the interference well testing in the homogeneous oil reservoir comprises two methods: extreme point analysis and plate fitting. The homogeneous oil reservoir interference well testing method is researched more and relatively perfect at home and abroad.
Theis first given a solution to pressure changes in a homogeneous infinite reservoir caused by flow rate changes at other points as early as 1935, and Jacob refers to "disturbance testing".
In 1990, the curve automatic fitting method is a major breakthrough in the development history of the interference well test. The method is proposed by zhangming, zeng Ping, which assumes that the formation is a homogeneous infinite reservoir. The new method can explain different permeabilities between each exciting well and each observation well in the same oil reservoir at one time, save the testing time and reduce the use of testing instruments.
Subsequently, dong Ming, xi Yugeng proposed a genetic algorithm based interpretation method for interference well testing in 1997. The method has the advantages that the method does not need the continuity of the objective function, does not need to estimate the initial value, and has high calculation speed and high precision. Liu Qiguo, chen Yanli et al (2006) studied the model and interpretation of well intervention independent wells, assuming both activation and observation wells were homogeneous infinite reservoir vertical wells. And establishing a production condition of the open well of the observation well by using a pressure superposition method.
The interference well testing can determine the communication condition of the stratum and the closure of the fault, and can also find out stratum parameters such as flow coefficient, pressure guide coefficient, energy storage coefficient and the like of the interwell stratum, and the interference well testing has many research applications in actual oil field development.
For example, zhuang Huinong (1977) suggests that reservoir conditions can be studied using the interwell pressure interference method. In 2008, the application of the interference well testing technology in oil reservoir description and dynamic adjustment is analyzed by azalea red, so that the development and adjustment of an oil field can be effectively guided, and the exploitation benefit of the oil field is improved. In 2011, liu Dongmei and Zhang He propose that the water direction of an oil well can be determined by applying an interference well testing technology. The application has the advantages of convenient field implementation, low construction cost, quick response and reliable test result, and provides data and basis for the follow-up measures of the oil-water well. In 2013, mojtaba p.shahri and Stefan z.miska proposed a method for calculating poisson's ratio using interference well testing. The method is based on the generalized diffusion coefficient equation, is convenient to operate in practical application, and widens the application range of the interference well testing. In 2014, charles U Ohaeri et al studied and analyzed the application of multi-well interference well testing in evaluating the reservoir connectivity of deep water gas reservoirs and the original geological reserves of natural gas. The interference well testing can be used for simply and effectively estimating the oil and gas geological reserves so as to evaluate the oil field as early as possible and make a related development scheme. In the same year, wang Jie researches the application of the interference well testing in the evaluation of the complex fault block oil reservoir, and provides reliable scientific basis for the deployment and development of a well pattern, the improvement of injection-production relation and the implementation of efficient water injection development of the complex fault block oil reservoir.
However, the inventor finds out in the process of implementing the invention that: the existing interference well testing mode cannot explain relevant parameters of the storage capacity and the flow capacity of the interwell fracture-cave system. Therefore, an effective interpretation method for interwell parameters of the fracture-cavity type oil reservoir is needed.
Disclosure of Invention
In view of the above, the present invention has been developed to provide a method for interpretation of interwell parameters of a fractured-vuggy reservoir based on interpretation of an interference test well that overcomes or at least partially solves the above-mentioned problems.
According to one aspect of the invention, a method for interpreting interwell parameters of a fractured-vuggy reservoir based on interference well testing interpretation is provided, and comprises the following steps:
acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment;
obtaining inter-well parameters based on interference well testing actual measurement;
determining a flow storage coefficient between the exciting well and the observation well according to the first formation pressure data, the second formation pressure data and the well parameter; the flow storage coefficient is specifically as follows: the product of the permeability data and the cavern volume data.
Optionally, determining a flow storage coefficient between the activation well and the observation well according to the first formation pressure data, the second formation pressure data, and the inter-well parameter specifically includes:
constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data;
and calculating the flow storage coefficient between the exciting well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the parameter among the wells.
Optionally, the first time is specifically the time from activation to the start of the interference pressure, and the second time is specifically the time from activation to the extreme value of the interference pressure; the interwell parameters specifically include: viscosity, well spacing, lead pressure coefficient, and reservoir cross-sectional area.
Optionally, the mathematical model for solving the first formation pressure data is specifically:
Figure BDA0002257982820000031
the mathematical model for solving the second formation pressure data is specifically as follows:
Figure BDA0002257982820000032
then the mathematical model for solving the flow storage coefficient is specifically:
Figure BDA0002257982820000033
wherein Δ p = p (R, t) m )-p(R,t p ),p i The method comprises the steps of obtaining original formation pressure data, k is permeability data, V is karst cave volume data, Q is fixed yield of an excited well, mu is viscosity, R is well spacing between the excited well and an observation well, eta is a pressure conduction coefficient, t p To begin activation to the onset time of the disturbance pressure, t m To begin activation to the time of the interference pressure extremum, a is the cross-sectional area of the reservoir.
According to another aspect of the invention, an interpretation device for interwell parameters of a fractured-vuggy reservoir based on interference well test interpretation is provided, and comprises:
the pressure data acquisition module is suitable for acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment;
the actual measurement module is suitable for obtaining an interwell parameter based on the interference well testing actual measurement;
the data processing module is suitable for determining a flow storage coefficient between the activation well and the observation well according to the first formation pressure data, the second formation pressure data and the well parameter;
the flow storage coefficient is specifically as follows: the product of the permeability data and the cavern volume data.
Optionally, the data processing module is specifically adapted to:
constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data;
and calculating the flow storage coefficient between the excited well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the inter-well parameters.
Optionally, the first time is specifically the time from activation to the start of the interference pressure, and the second time is specifically the time from activation to the extreme value of the interference pressure; the interwell parameters specifically include: viscosity, well spacing, lead pressure coefficient, and reservoir cross-sectional area.
According to still another aspect of the present invention, there is provided an electronic apparatus including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the interpretation method of the fracture-cavity type oil reservoir inter-well parameters based on the interference well testing interpretation.
According to still another aspect of the present invention, a computer storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction causes a processor to execute an operation corresponding to the interpretation method of the interwell parameters of the fracture-cavity type reservoir based on the interference well testing interpretation.
The invention provides a fracture-cavity type oil reservoir inter-well parameter interpretation method based on interference well testing interpretation, which comprises the following steps: acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment; obtaining inter-well parameters based on interference well testing actual measurement; determining a flow storage coefficient between the exciting well and the observation well according to the second formation pressure data, the second formation pressure data and the well-to-well parameters, wherein the flow storage coefficient is specifically as follows: the product of the permeability data and the cavern volume data. The invention provides a method for explaining parameters among fracture-cavity oil reservoirs based on interference well testing explanation, which is used for comprehensively explaining related parameters of the storage capacity and the flow capacity of an interwell fracture-cavity system which cannot be explained by conventional interference well testing when the wells are communicated by the fracture-cavity system, so that the inter-well parameter explanation of the interference well testing of the fracture-cavity oil reservoirs is realized.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a schematic flow diagram of a method for interpretation of interwell parameters of a fractured-vuggy reservoir based on interpretation of an interference well test according to one embodiment of the invention;
FIG. 2 shows a schematic flow diagram of a method for interpretation of interwell parameters of a fractured-vuggy reservoir based on interpretation of an interference well test according to another embodiment of the invention;
FIG. 3 shows a physical model schematic of a fracture-cavity system between an activation well and an observation well;
FIG. 4 is a graph showing the relationship between the flow storage coefficient and permeability and the pressure coefficient;
FIG. 5 shows a functional block diagram of an interpretation apparatus for interwell parameters of a fractured-vuggy reservoir based on an interference well testing interpretation according to an embodiment of the present invention;
fig. 6 shows a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may 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 disclosure to those skilled in the art.
Fig. 1 shows a flow diagram of an interpretation method of parameters between fracture-cavity type oil reservoirs based on interference well testing interpretation according to an embodiment of the invention, in the method of the embodiment, strip-shaped oil reservoirs such as a solution body and a river body are simplified into plate-shaped bodies, a concept of fracture-cavity flow storage coefficients is innovatively introduced, an inter-well utilization reserve evaluation method based on interference well testing is formed, and the utilization value of interference data is expanded. As shown in fig. 1, the method specifically includes:
step S101, obtaining first formation pressure data of a first time and second formation pressure data of a second time of an observation well.
The method comprises the steps of respectively obtaining first formation pressure data and second formation pressure data of an observation well at two different moments, wherein the first moment can be specifically time from activation to interference pressure starting, and the second moment can be time from activation to interference pressure extreme value.
And 102, obtaining inter-well parameters based on interference well testing actual measurement.
Inter-well parameters may include, among others: the viscosity, well spacing, pressure conduction coefficient and reservoir cross-sectional area can be obtained through actual measurement or analysis of seismic data.
Step S103, determining a flow storage coefficient between the activation well and the observation well according to the first formation pressure data, the second formation pressure data and the inter-well parameter, wherein the flow storage coefficient specifically comprises the following steps: the product of the permeability data and the cavern volume data.
The flow storage coefficient Kv is specifically the product of permeability data K and karst cave volume data v, and the difference between the flow storage coefficient Kv and the formation coefficient in the sandstone oil reservoir mainly lies in that: the formation coefficient in the sandstone oil reservoir is mainly used for guiding the design of the yield batch or separate injection quantity in the longitudinal direction, and the flow storage coefficient Kv can be used for guiding the evaluation of different flow channel reservoir bodies on a plane, the flow distribution calculation and the later flow channel adjustment.
Specifically, pressure change data of the observation well is obtained according to the first formation pressure data and the second formation pressure data, and a flow storage coefficient Kv between the activation well and the observation well is determined according to the pressure change data of the observation well. According to the method, the exciting well and the observation well are communicated through the fracture system, and the pressure change of the observation well is approximately considered to be mainly caused by the output change of the exciting well, so that the fracture flow storage coefficient can be determined by measuring the pressure change of the observation well.
According to the interpretation method of the interwell parameters of the fracture-cavity type oil reservoir based on the interference well testing interpretation, first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment are obtained; secondly, obtaining inter-well parameters based on interference well testing actual measurement; and finally, determining a flow storage coefficient between the exciting well and the observation well according to the second formation pressure data, the second formation pressure data and the inter-well parameters, wherein the flow storage coefficient specifically comprises the following steps: the product of the permeability data and the cavern volume data. The method is used for comprehensively explaining the related parameters of the storage capacity and the flow capacity of the interwell fracture-cavity system which cannot be explained by conventional interference well testing when the interwell is communicated by the fracture-cavity system, so that the interwell parameter explanation of the fracture-cavity oil reservoir through the interference well testing is realized.
Fig. 2 is a schematic flow chart of an interpretation method of parameters between fracture-vug type oil reservoirs based on interference well testing interpretation according to another embodiment of the invention, in the method of the embodiment, strip-shaped oil reservoirs such as a solution body and a river body are simplified into plate-shaped bodies, a concept of fracture-vug flow storage coefficients is innovatively introduced, an inter-well utilization reserve evaluation method based on interference well testing is formed, and the utilization value of interference data is expanded. As shown in fig. 2, the method specifically includes:
step S201, first formation pressure data of a first time and second formation pressure data of a second time of the observation well are obtained.
The first time is specifically the time from activation to the start of the interference pressure, and the second time is specifically the time from activation to the extreme value of the interference pressure.
And S202, obtaining inter-well parameters based on interference well testing actual measurement.
Wherein, the interwell parameters specifically include: viscosity, well spacing, impulse coefficient, and reservoir cross-sectional area, among others. The method can be obtained through actual measurement or analysis of seismic data.
Step S203, constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data; and calculating the flow storage coefficient between the excited well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the inter-well parameters.
The outflow coefficient Kv can be used for evaluating the scale of the interwell communicated fracture-cave reservoir body, and provides a theoretical basis for subsequent well pattern deployment and flow channel adjustment.
According to the method, the exciting well and the observation well are communicated through the fracture-cave system, when the fluid flow is considered as one-dimensional seepage, the formation pressure of any point is solved by establishing a one-dimensional seepage mathematical model, the pressure change of the observation well is measured, the pressure change is approximately considered to be mainly caused by the output change of the exciting well, and when the formation pressures of the observation well at two moments are known, a mathematical model of the fracture-cave flow storage coefficient Kv can be deduced according to the one-dimensional seepage mathematical model.
Specifically, a one-dimensional seepage mathematical model is built in the context of the following assumptions: and (1) the two wells are communicated through a fracture-cavity system. (2) only one fluid in the reservoir is involved in the flow. And (3) considering Newtonian fluid, wherein the viscosity of the fluid is constant. And (4) neglecting the influence of gravity and capillary force. And (5) isothermal slightly compressible flow. (6) the fluid flow is considered to be one-dimensional flow. (7) matrix seepage is not considered.
Then, the mathematical model for solving the first formation pressure data is specifically set up as follows:
Figure BDA0002257982820000071
the established mathematical model for solving the second formation pressure data specifically comprises the following steps:
Figure BDA0002257982820000081
according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data, the mathematical model for solving the flow storage coefficient is obtained as follows:
Figure BDA0002257982820000082
wherein Δ p = p (R, t) m )-p(R,t p ) I.e. t m Formation pressure at time t p Pressure difference between formation pressures at time, p i The method comprises the steps of obtaining original formation pressure data, k is permeability data, V is karst cave volume data, Q is fixed yield of an excited well, mu is viscosity, R is well spacing between the excited well and an observation well, eta is a pressure conduction coefficient, t p To openOnset of activation to onset of disturbance pressure, t m To begin activation to the time of the interference pressure extremum, a is the cross-sectional area of the reservoir.
In specific implementation, pressure data of a first moment, pressure data of a second moment and well-to-well data of the observation well are measured, and the flow storage coefficient is solved by using the mathematical model for solving the flow storage coefficient.
Figure 3 shows a physical model schematic of a fracture-cavity system between an activation well and an observation well.
The table one shows the parameter calculation result obtained by applying the method of the present invention to an actual service scenario.
Watch 1
Figure BDA0002257982820000083
Fig. 4 is a schematic diagram showing the relationship between the flow reserve coefficient and the permeability and the pressure conductivity coefficient, and as shown in fig. 4, the flow reserve coefficient Kv and the pressure conductivity coefficient η and the permeability k both show positive correlation.
Therefore, the embodiment provides the interpretation method of the interwell parameters of the fracture-cavity type oil reservoir based on the interference well testing interpretation, which is used for comprehensively interpreting the related parameters of the storage capacity and the flow capacity of the interwell fracture-cavity system which cannot be interpreted by the conventional interference well testing when the interwell is communicated by the fracture-cavity system, so that the interpore parameters of the interference well testing of the fracture-cavity type oil reservoir are interpreted. The method simplifies strip-shaped oil reservoirs such as a solution body, a river body and the like into plate-shaped bodies, innovatively introduces the concept of fracture-cave flow storage coefficient, forms an interwell utilization reserve evaluation method based on interference well testing, and expands the utilization value of interference data.
Fig. 5 is a functional block diagram of an interpretation apparatus for interwell parameters of a fractured-vuggy reservoir based on an interference well testing interpretation according to an embodiment of the present invention, as shown in fig. 5, the apparatus comprising:
the pressure data acquisition module 51 is suitable for acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment;
the actual measurement module 52 is adapted to obtain an inter-well parameter based on the interference well testing actual measurement;
the data processing module 53 is adapted to determine a flow storage coefficient between the activation well and the observation well according to the first formation pressure data, the second formation pressure data and the inter-well parameter; wherein the flow storage coefficient is specifically as follows: the product of the permeability data and the cavern volume data.
Optionally, the data processing module 53 is specifically adapted to:
constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data;
and calculating the flow storage coefficient between the exciting well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the parameter among the wells.
Optionally, the first time is specifically a time from activation to the start of the interference pressure, and the second time is specifically a time from activation to the extreme value of the interference pressure; the interwell parameters specifically include: viscosity, well spacing, lead pressure coefficient, and reservoir cross-sectional area.
The embodiment of the application provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the interpretation method of the interwell parameters of the fracture-cavity type reservoir based on the interference well testing interpretation in any method embodiment.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 6, the electronic device may include: a processor (processor) 602, a communication Interface 604, a memory 606, and a communication bus 608.
Wherein:
the processor 602, communication interface 604, and memory 606 communicate with one another via a communication bus 608.
A communication interface 604 for communicating with network elements of other devices, such as clients or other servers.
The processor 602 is configured to execute the program 610, and may specifically execute relevant steps in the embodiment of the interpretation method of the interwell parameters of the fracture-cavity reservoir based on the interference well testing interpretation.
In particular, the program 610 may include program code comprising computer operating instructions.
The processor 602 may be a central processing unit CPU, or an Application Specific Integrated Circuit ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present invention. The electronic device comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 606 for storing a program 610. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may specifically be configured to cause the processor 602 to perform the following operations:
acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment;
obtaining inter-well parameters based on interference well testing actual measurement;
determining a flow storage coefficient between the exciting well and the observation well according to the first formation pressure data, the second formation pressure data and the well parameter; wherein the flow storage coefficient is specifically as follows: the product of the permeability data and the cavern volume data.
In an alternative, the program 610 may further be configured to cause the processor 602 to:
constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data;
and calculating the flow storage coefficient between the excited well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the inter-well parameters.
In an alternative mode, the first time is specifically the time from the beginning of activation to the beginning of the interference pressure, and the second time is specifically the time from the beginning of activation to the extreme value of the interference pressure; the interwell parameters specifically include: viscosity, well spacing, lead pressure coefficient, and reservoir cross-sectional area.
In an alternative approach, the mathematical model for solving the first formation pressure data is embodied as:
Figure BDA0002257982820000111
the mathematical model for solving the second formation pressure data is specifically as follows:
Figure BDA0002257982820000112
then the mathematical model for solving the flow storage coefficient is specifically:
Figure BDA0002257982820000113
wherein Δ p = p (R, t) m )-p(R,t p ),p i The method comprises the steps of obtaining original formation pressure data, k is permeability data, V is karst cave volume data, Q is fixed yield of an excited well, mu is viscosity, R is well spacing between the excited well and an observation well, eta is a pressure conduction coefficient, t p To begin activation to the onset time of the disturbance pressure, t m To begin activation to the time of the interference pressure extremum, a is the cross-sectional area of the reservoir.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system is apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore, may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an electronic device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (4)

1. A method for interpreting interwell parameters of a fractured-vuggy reservoir based on interference well testing interpretation comprises the following steps:
acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment;
obtaining inter-well parameters based on interference well testing actual measurement;
the first time is specifically the time from activation to interference pressure start, and the second time is specifically the time from activation to interference pressure extreme; the interwell parameters specifically include: viscosity, well spacing, lead pressure coefficient, and reservoir cross-sectional area;
constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data;
calculating the flow storage coefficient between the activation well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the parameter among the wells; wherein the flow storage coefficient is specifically: the product of the permeability data and the cavern volume data;
the mathematical model for solving the first formation pressure data is specifically as follows:
Figure FDA0003796167070000011
the mathematical model for solving the second formation pressure data is specifically as follows:
Figure FDA0003796167070000012
then the mathematical model for solving the flow storage coefficient is specifically:
Figure FDA0003796167070000013
wherein Δ p = p (R, t) m )-p(R,t p ),p i The method comprises the steps of obtaining original formation pressure data, k is permeability data, V is karst cave volume data, Q is fixed yield of an excited well, mu is viscosity, R is well spacing between the excited well and an observation well, eta is a pressure conduction coefficient, t p To begin activation to the onset time of the disturbing pressure, t m To begin activation to the time of the interference pressure extremum, a is the reservoir cross-sectional area.
2. An interpretation apparatus for interwell parameters of a fractured-vuggy reservoir based on interference well testing interpretation, the apparatus being used for performing operations corresponding to the method of claim 1, the apparatus comprising:
the pressure data acquisition module is suitable for acquiring first formation pressure data of an observation well at a first moment and second formation pressure data of an observation well at a second moment;
the actual measurement module is suitable for obtaining an inter-well parameter based on interference well testing actual measurement;
the first time is specifically the time from activation to interference pressure start, and the second time is specifically the time from activation to interference pressure extreme; the interwell parameters specifically include: viscosity, well spacing, lead pressure coefficient, and reservoir cross-sectional area;
the data processing module is suitable for constructing a mathematical model for solving the flow storage coefficient according to the mathematical model for solving the first formation pressure data and the mathematical model for solving the second formation pressure data; calculating the flow storage coefficient between the excited well and the observation well according to the mathematical model for solving the flow storage coefficient, the first formation pressure data, the second formation pressure data and the inter-well parameter; wherein the flow storage coefficient is specifically: the product of the permeability data and the cavern volume data;
the mathematical model for solving the first formation pressure data is specifically as follows:
Figure FDA0003796167070000021
the mathematical model for solving the second formation pressure data is specifically as follows:
Figure FDA0003796167070000022
then the mathematical model for solving the flow storage coefficient is specifically:
Figure FDA0003796167070000023
wherein Δ p = p (R, t) m )-p(R,t p ),p i The method comprises the steps of obtaining original formation pressure data, k is permeability data, V is karst cave volume data, Q is fixed yield of an excited well, mu is viscosity, R is well spacing between the excited well and an observation well, eta is a pressure conduction coefficient, t p To begin activation to the onset time of the disturbance pressure, t m To begin activation to the time of the interference pressure extremum, a is the reservoir cross-sectional area.
3. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the interpretation method of the fracture-cave reservoir inter-well parameters based on the interference well test interpretation as claimed in claim 1.
4. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the interpretation method for interwell parameters of a fractured-vuggy reservoir based on disturbance well test interpretation as claimed in claim 1.
CN201911061086.8A 2019-11-01 2019-11-01 Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation Active CN110671104B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911061086.8A CN110671104B (en) 2019-11-01 2019-11-01 Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911061086.8A CN110671104B (en) 2019-11-01 2019-11-01 Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation

Publications (2)

Publication Number Publication Date
CN110671104A CN110671104A (en) 2020-01-10
CN110671104B true CN110671104B (en) 2022-10-14

Family

ID=69085532

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911061086.8A Active CN110671104B (en) 2019-11-01 2019-11-01 Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation

Country Status (1)

Country Link
CN (1) CN110671104B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113294147A (en) * 2020-02-24 2021-08-24 中国石油化工股份有限公司 Single-hole type solution reservoir well test interpretation method considering influence of gravity factors
CN112177604A (en) * 2020-07-31 2021-01-05 中国石油天然气集团有限公司 Quantitative evaluation method for determining interference degree between fracturing wells
CN112211627B (en) * 2020-10-30 2022-03-11 西南石油大学 Selection method of low-permeability gas reservoir interference well testing test well
CN112901145B (en) * 2021-03-19 2022-04-26 大庆油田有限责任公司 Volume energy method for analyzing injection-production relation between oil-water wells
CN114109377B (en) * 2021-11-29 2023-10-20 常州大学 Experimental method for simulating broken solution reservoir well test by ice burying and cave building
CN116658118B (en) * 2023-06-05 2024-01-30 德州学院 Micro-fracture pressure oil displacement method and system based on big data and readable storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105117511A (en) * 2015-07-22 2015-12-02 西南石油大学 Fracture-cavity reservoir inter-well communication passage and flow parameter characterization method
CN105626023A (en) * 2014-11-07 2016-06-01 中国石油化工股份有限公司 Well test determination method for vertical fracturing fracture azimuth of low-permeability oil reservoir
CN108920849A (en) * 2018-07-09 2018-11-30 合肥辰工科技有限公司 A kind of fractured-vuggy reservoir well testing determines hole method of flow in stratum

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10280722B2 (en) * 2015-06-02 2019-05-07 Baker Hughes, A Ge Company, Llc System and method for real-time monitoring and estimation of intelligent well system production performance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105626023A (en) * 2014-11-07 2016-06-01 中国石油化工股份有限公司 Well test determination method for vertical fracturing fracture azimuth of low-permeability oil reservoir
CN105117511A (en) * 2015-07-22 2015-12-02 西南石油大学 Fracture-cavity reservoir inter-well communication passage and flow parameter characterization method
CN108920849A (en) * 2018-07-09 2018-11-30 合肥辰工科技有限公司 A kind of fractured-vuggy reservoir well testing determines hole method of flow in stratum

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
大尺度溶洞发育的缝洞型油藏试井解释模型研究;尹洪军等;《特种油气藏》;20180802(第05期);全文 *
聚合物驱油藏数值试井解释方法研究;张德志等;《石油钻探技术》;20060625(第03期);全文 *

Also Published As

Publication number Publication date
CN110671104A (en) 2020-01-10

Similar Documents

Publication Publication Date Title
CN110671104B (en) Interpretation method of interwell parameters of fracture-cavity type oil reservoir based on interference well testing interpretation
CN102439486B (en) Methods, apparatus and articles of manufacture to process measurements of wires vibrating in fluids
CN106202673B (en) Determine the method and device of oil reservoir moisture percentage and oily recovery percent of reserves relationship
US20180320493A1 (en) Automated upscaling of relative permeability using fractional flow in systems comprising disparate rock types
US11913865B2 (en) In-situ prediction and dynamic visualization of relative permeability and capillary pressure in porous medium
Zhang et al. Assisted history matching for the inversion of fractures based on discrete fracture-matrix model with different combinations of inversion parameters
US11591901B2 (en) System for determining reservoir properties from long-term temperature monitoring
Jamali et al. Application of capacitance resistance models to determining interwell connectivity of large-scale mature oil fields
CN107741312B (en) Non-uniform distribution type structural vibration field engineering test method
WO2017196474A1 (en) Multi-step subsidence inversion for modeling lithospheric layer thickness through geological time
CN106501146B (en) Method and device for determining physical upper limit of tight oil reservoir
CN108131127B (en) Method and device for obtaining gas-oil ratio of production of foam oil type extra heavy oil field
CN108681793B (en) Deep reservoir oil extraction index prediction method and device
CN111241652A (en) Method and device for determining viscosity of crude oil in stratum
CN102679984B (en) Finite model filtering method based on vector distance minimizing criterion
CN113051697B (en) Method and device for generating evolution history curve of pore pressure of ancient gas reservoir stratum
CN107038300B (en) PDC drill bit rock drillability level value prediction method and device at different temperatures
CN112114357B (en) Fracture-cavity type reservoir connectivity prediction method and device
CN105629316B (en) Obtain the method and device of the fluid radial direction grease saturation degree variation of undisturbed formation
CN110952973A (en) Oil and gas exploitation monitoring method, service life determination model obtaining method and related equipment
CN109339772B (en) Method and device for judging gas reservoir communication relation of well region
CN114060013B (en) Interference well testing method for volcanic gas reservoir horizontal well
CN111651848B (en) Stress-sensitive oil reservoir vertical well fluid production capacity prediction method and device
RU2768341C1 (en) Well production rate prediction method taking into account anisotropy of permeability of carbonate rocks
RU2731013C2 (en) Method of short-term hydrodynamic analysis of horizontal wells and wells with formation hydraulic fracturing at unsteady filtration mode

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant