CN113033858A - Method and device for predicting recoverable reserves of crude oil technology - Google Patents
Method and device for predicting recoverable reserves of crude oil technology Download PDFInfo
- Publication number
- CN113033858A CN113033858A CN201911343318.9A CN201911343318A CN113033858A CN 113033858 A CN113033858 A CN 113033858A CN 201911343318 A CN201911343318 A CN 201911343318A CN 113033858 A CN113033858 A CN 113033858A
- Authority
- CN
- China
- Prior art keywords
- production
- initial
- annual
- oil
- degressive
- 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.)
- Granted
Links
- 239000010779 crude oil Substances 0.000 title claims abstract description 139
- 238000005516 engineering process Methods 0.000 title claims abstract description 76
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000004519 manufacturing process Methods 0.000 claims abstract description 327
- 239000003129 oil well Substances 0.000 claims abstract description 148
- 239000003921 oil Substances 0.000 claims abstract description 56
- 230000001186 cumulative effect Effects 0.000 claims abstract description 49
- 230000007423 decrease Effects 0.000 claims abstract description 46
- 230000003247 decreasing effect Effects 0.000 claims description 79
- 238000004590 computer program Methods 0.000 claims description 17
- 238000011958 production data acquisition Methods 0.000 claims description 4
- 230000003467 diminishing effect Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 15
- 230000008569 process Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 8
- 238000011161 development Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000003068 static effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000011410 subtraction method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Animal Husbandry (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Development Economics (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method and a device for predicting recoverable reserves of a crude oil technology, wherein the method comprises the following steps: obtaining oil production data of a target linear degressive production well; acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data; and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual decline rate of the oil well and the initial annual yield of the oil well, wherein the prediction precision of the recoverable reserves of the crude oil technology is improved by acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual decline rate of the oil well and the initial annual yield of the oil well.
Description
Technical Field
The invention relates to the technical field of oil field exploration and development, in particular to a method and a device for predicting recoverable reserves of a crude oil technology.
Background
The technical recoverable reserves refer to the finally recoverable oil gas quantity which is calculated by theory or analogized under the given technical conditions, and are important parameters for making efficient and reasonable oilfield development schemes.
At present, three oil well yield decreasing types are exponential decreasing, hyperbolic decreasing and harmonic decreasing, and the application range of decreasing indexes is defined as n is more than or equal to 0 and less than or equal to 1; in practical applications, the range of application of the decreasing exponent n in the hyperbolic decreasing type is extended to (-10, 10) or (— infinity, + ∞), and is referred to as "generalized Arps decreasing theory":
wherein D isyiRepresents the initial annual rate of decline, f; n represents a decreasing index; n is a radical ofyIndicates cumulative production of decreasing crude oil (without q) at the y year of decreasing production0And previous yield), t; q 0 Represents the initial annual yield, t/a; qyRepresents the steady annual production at year y of decreasing production, t/a; y represents the number of years of the decreasing production calendar (y is more than or equal to 1), a.
When the decreasing index n is-1, the decreasing period stable annual production formula (1) of the generalized Arps decreasing theory is transformed into a linear decreasing production well stable annual production formula:
Qy＝Q 0 (1-yDyi)
when the decreasing index n is equal to-1, the crude oil cumulative yield formula (2) of the decreasing period of the generalized Arps decreasing theory can be transformed into a calculation formula of the recoverable reserves of the crude oil technology of the linear decreasing production well:
wherein, N'TArps straight decreasing phase crude oil technology recoverable reserve, 104t。
When the generalized Arps decreasing theory is applied to calculate the recoverable reserve of the crude oil technology in the straight decreasing period, the recoverable reserve of the crude oil technology in the straight decreasing period can be calculated after the initial annual output and the initial annual decreasing rate of the oil well are determined by regression in the form of a formula (3).
Through the analysis and comparison of the arithmetic progression of the stable annual output, the method finds that obvious errors exist in the calculation of the recoverable reserves of the crude oil technology of the oil well by adopting the formula (4).
Disclosure of Invention
In view of the problems in the prior art, the present invention provides a method and apparatus for predicting recoverable reserves of crude oil technologies, an electronic device, and a computer-readable storage medium, which can at least partially solve the problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, there is provided a method of predicting recoverable reserves of a crude oil technology, comprising:
obtaining oil production data of a target linear degressive production well;
acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well.
Further, the obtaining of cumulative yield of crude oil before decreasing production, average days per month decreasing production, initial annual rate of decrease of oil well and initial annual yield of oil well according to the oil production data includes:
acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial daily yield before degressive production of the oil well, the stable daily yield in the linear degressive period and the stable annual yield in the 1 st year of degressive production according to the oil production data;
acquiring an initial daily decrement rate according to the initial daily output before the oil well degressive production and the stable daily output in the linear degressive period;
acquiring the initial annual output of the oil well according to the stable annual output of the 1 st year of degressive production, the average degressive production days per month, the initial daily output before the degressive production of the oil well and the initial daily decrement rate;
and acquiring an initial annual decrement rate according to the average production days per month decrement, the initial daily decrement rate, the initial daily yield before the oil well decrement production and the initial annual yield of the oil well.
Further, the obtaining the initial annual production of the oil well according to the stable annual production of the 1 st year of the degressive production, the average days of degressive production per month, the initial daily production before the degressive production of the oil well and the initial daily decrement rate comprises:
acquiring an average difference value of adjacent stable annual yields of the oil wells according to the average number of production days decreased every month, the initial daily yield before the oil wells are decreased and the initial daily decrement rate;
and acquiring the initial annual output of the oil well according to the average difference value of the adjacent stable annual outputs of the oil wells and the stable annual output of the 1 st year of the degressive production.
Further, the average difference value of the adjacent stable annual output of the oil wells is obtained according to the average number of production days decreased per month, the initial daily output before the oil wells are decreased and the initial daily decrement rate, and the method is realized by adopting the following formula:
Qy-1-Qy＝(12m)2q0Ddi
wherein Q isy-1-QyRepresents the average difference between adjacent stable annual productivities of the wells,m represents the average number of days of production decreasing per month, q0Indicating the initial daily production before the well is degressive, DdiIndicating the initial daily decrement rate.
Further, the acquiring of the initial annual output of the oil well according to the average difference value of the adjacent stable annual outputs of the oil wells and the stable annual output of the 1 st year of the degressive production is realized by adopting the following formula:
Q 0 ＝Q 1 +(Qy-1-Qy)
wherein Q is 0 Indicating the initial annual production of the well, Q 1 Represents a steady annual yield, Q, of the 1 st year of decreasing productiony-1-QyRepresenting the average difference in adjacent stable annual production of the well.
Further, the obtaining of the initial annual decrement rate according to the average monthly decrement production days, the initial daily decrement rate, the initial daily production before the oil well decrement production and the initial annual production of the oil well is implemented by adopting the following formula:
wherein D isyiIndicates the initial annual rate of decline, Q 0 Indicating the initial annual production of the well, Qy-1-QyRepresenting the average difference in adjacent stable annual production of the well.
Further, the obtaining of crude oil technology recoverable reserves based on the cumulative production of crude oil before the incremental production, the average incremental days per month of production, the initial annual rate of decline of the well, and the initial annual production of the well comprises:
wherein N isRTRepresenting the recoverable reserves of crude oil technology, 104t，NoRepresenting cumulative production of crude oil before decreasing production, 104t, m represents the average number of days of production per month, DyiIndicating the initial annual rate of decline.
In a second aspect, there is provided an apparatus for predicting recoverable reserves of crude oil technology, comprising:
the oil production data acquisition module is used for acquiring oil production data of the target linear decreasing production well;
the parameter acquisition module is used for acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
and the prediction module is used for acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual decline rate of the oil well and the initial annual yield of the oil well.
Further, the parameter obtaining module comprises:
the parameter acquisition unit is used for acquiring the cumulative yield of crude oil before degressive production, the average production days per month, the initial daily yield before degressive production of the oil well, the stable daily yield of a straight degressive period and the stable annual yield of the degressive production in the 1 st year according to the oil production data;
an initial daily decrement rate obtaining unit for obtaining an initial daily decrement rate according to the initial daily output before the oil well degressive production and the stable daily output in the linear degressive period;
an initial annual output acquisition unit which acquires the initial annual output of the oil well according to the stable annual output of the 1 st year of the degressive production, the average degressive production days per month, the initial daily output before the degressive production of the oil well and the initial daily decrement rate;
and the initial annual decrement rate obtaining unit is used for obtaining the initial annual decrement rate according to the average monthly decrement production days, the initial daily decrement rate, the initial daily yield before the oil well decremental production and the initial annual yield of the oil well.
Further, the initial annual capacity acquisition unit includes:
the average difference value obtaining subunit is used for obtaining the average difference value of the adjacent stable annual output of the oil wells according to the average descending production days per month, the initial daily output before descending production of the oil wells and the initial daily decrement rate;
and the initial annual output acquisition subunit acquires the initial annual output of the oil well according to the average difference value of the adjacent stable annual outputs of the oil well and the stable annual output of the 1 st year of the degressive production.
In a third aspect, an electronic device is provided, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for predicting recoverable reserves of a crude oil technology described above when executing the program.
In a fourth aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of predicting crude oil technology recoverable reserves described above.
The invention provides a method and a device for predicting recoverable reserves of a crude oil technology, an electronic device and a computer readable storage medium, wherein the method comprises the following steps: obtaining oil production data of a target linear degressive production well; acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data; and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual decline rate of the oil well and the initial annual yield of the oil well, wherein the prediction precision of the recoverable reserves of the crude oil technology is improved by acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual decline rate of the oil well and the initial annual yield of the oil well.
In order to make the aforementioned and other objects, features and advantages of the invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. In the drawings:
FIG. 1 is a schematic diagram of an architecture between a server S1 and a client device B1 according to an embodiment of the present invention;
FIG. 2 is a block diagram of the server S1, the client device B1 and the database server S2 according to an embodiment of the present invention;
FIG. 3 is a schematic flow diagram of a method of predicting recoverable reserves of a crude oil technique in an embodiment of the invention;
fig. 4 shows the specific steps of step S200 in fig. 3;
fig. 5 shows the specific steps of step S230 in fig. 4;
figure 6 shows a HN24 well production curve in an example of the invention.
FIG. 7 is a block diagram of an apparatus for predicting recoverable reserves of crude oil technology in an embodiment of the present invention;
FIG. 8 shows a detailed structure of the parameter acquisition module in FIG. 7;
fig. 9 shows a specific structure of the initial annual production amount obtaining unit in fig. 8;
fig. 10 is a block diagram of an electronic device according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of this application and the above-described drawings, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Through the analysis and comparison of the arithmetic progression of the stable annual output, the prior art is adopted to calculate the recoverable reserves of the crude oil technology of the oil well, and obvious errors exist.
To at least partially solve the above technical problems in the prior art, an embodiment of the present invention provides a method for predicting a recoverable reserve of a crude oil technology, which improves the accuracy of the prediction of the recoverable reserve of the crude oil technology by obtaining the recoverable reserve of the crude oil technology based on the cumulative production of crude oil before the incremental production, the average incremental production days per month, the initial annual rate of decline of the oil well, and the initial annual production of the oil well.
In view of the above, the present application provides an apparatus for predicting recoverable reserves of crude oil technologies, which may be a server S1, see fig. 1, the server S1 may be communicatively connected to at least one client device B1, the client device B1 may transmit oil production data of a target straight-line decreasing production well to the server S1, and the server S1 may receive the oil production data of the target straight-line decreasing production well online. The server S1 may perform online or offline preprocessing on the acquired oil production data of the target straight-line decreasing production well, and acquire, according to the oil production data, cumulative production of crude oil before decreasing production, average decreasing production days per month, initial annual rate of decrease of the oil well, and initial annual production of the oil well; and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well. The server S1 may then send the crude oil technical reserves online to the client B1. The client device B1 may receive the crude oil technical recoverable reserves online.
Additionally, referring to FIG. 2, the server S1 may also be communicatively coupled to at least one database server S2, the database server S2 configured to store production data for a target straight-line decreasing production well. According to the prediction instruction of the client device B1, the database server S2 sends the oil production data of the target straight-line decreasing production well to the server S1 on line, and the server S1 can receive the oil production data of the target straight-line decreasing production well on line and obtain the cumulative yield of crude oil before decreasing production, the average decreasing production days per month, the initial annual rate of decrease of the oil well and the initial annual yield of the oil well according to the oil production data; and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well.
It is understood that the client device B1 may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..
In practical applications, the part of predicting the oil technology reserves can be performed on the server S1 side as described above, i.e. the architecture shown in fig. 1, or all operations can be performed in the client device B1, and the client device B1 can be directly connected in communication with the database server S2. Specifically, the selection may be performed according to the processing capability of the client device B1, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. If all of the operations are performed at the client device B1, the client device B1 may also include a processor for performing specific processes for predicting the recoverable reserves of the crude oil technology.
The server and the client device may communicate using any suitable network protocol, including network protocols not yet developed at the filing date of this application. The network protocol may include, for example, a TCP/IP protocol, a UDP/IP protocol, an HTTP protocol, an HTTPS protocol, or the like. Of course, the network Protocol may also include, for example, an RPC Protocol (Remote Procedure Call Protocol), a REST Protocol (Representational State Transfer Protocol), and the like used above the above Protocol.
FIG. 3 is a schematic flow chart of a method of predicting recoverable reserves of a crude oil technology in an embodiment of the invention. As shown in fig. 3, the method of predicting the recoverable reserves of a crude oil technology may include the following:
step S100: obtaining oil production data of a target linear degressive production well;
the oil well adopts oil field development equipment and a corresponding production mode to extract oil in a target oil reservoir, and oil well oil production data are obtained through corresponding storage and transportation equipment in the process of extracting the oil.
Step S200: acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
specifically, the cumulative yield of crude oil before the degressive production and the average days of degressive production per month can be counted according to the oil production data, and the initial annual yield of the oil well can be calculated according to the oil production data.
Step S300: and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well.
It is worth explaining that the prediction of the future productivity of the straight degressive production oil well can be realized by predicting the recoverable reserves of the crude oil technology, and the prediction is a necessary parameter for making an oil field development scheme, and further is used for making an oil field development scheme required in industry, guiding the development and production of the oil field and realizing long-term and medium-term planning of the oil field.
In summary, according to the method for predicting the recoverable reserves of the crude oil technology provided by the embodiment of the invention, the recoverable reserves of the crude oil technology are obtained according to the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual declining rate of the oil well and the initial annual yield of the oil well, so that the prediction accuracy of the recoverable reserves of the crude oil technology is improved.
The method for predicting the recoverable reserve of the crude oil technology provided by the embodiment of the invention can objectively evaluate the recoverable reserve of the crude oil technology of the straight descending production oil well, eliminates obvious deviation existing when the recoverable reserve of the crude oil technology of the straight descending period is calculated by the generalized Arps descending theory, and is particularly suitable for determining the recoverable reserve of the crude oil technology of the straight descending production oil well in each stage of exploration and development of an oil field for new and conventionally developed oil reservoirs in an old area.
It is worth explaining that the stable annual output change in the linear decreasing period of the oil well is controlled by the initial annual decreasing rate, the smaller the initial annual decreasing rate is, the smaller the slope of the linear decreasing production of the stable annual output is, and the slower the stable annual output decreases; the greater the initial annual rate of decline, the greater the slope of the steady annual production linear decline production, and the faster the steady annual production decline.
In an alternative embodiment, referring to fig. 4, this step S200 may include the following:
step S210: acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial daily yield before degressive production of the oil well, the stable daily yield in the linear degressive period and the stable annual yield in the 1 st year of degressive production according to the oil production data;
specifically, the cumulative yield of crude oil before decreasing production, the average number of days per month decreasing production, and the stable annual yield of the 1 st year decreasing production can be counted according to the oil production data. In addition, the decreasing production starting time of the oil well can be counted according to the oil production data, and then the initial daily yield of the oil well before decreasing production is found according to the decreasing production starting time of the oil well.
Step S220: acquiring an initial daily decrement rate according to the initial daily output before the oil well degressive production and the stable daily output in the linear degressive period;
specifically, the following formula can be used:
wherein D isdiInitial daily decrement rate, f; q. q.s0For wells with decreasing initial daily production, m3/d；q1To decrease the steady daily output on day 1 of production, m3/d。
By adopting the scheme, the initial daily decrement rate can be accurately calculated, and the prediction precision is further improved.
Step S230: acquiring the initial annual output of the oil well according to the stable annual output of the 1 st year of degressive production, the average degressive production days per month, the initial daily output before the degressive production of the oil well and the initial daily decrement rate;
step S240: and acquiring an initial annual decrement rate according to the average production days per month decrement, the initial daily decrement rate, the initial daily yield before the oil well decrement production and the initial annual yield of the oil well.
Specifically, the following formula is adopted:
wherein D isyiIndicates the initial annual rate of decline, Q 0 Indicating the initial annual production of the well, Qy-1-QyRepresenting the average difference in adjacent stable annual production of the well.
By adopting the technical scheme, the accurate initial annual rate can be obtained, and the prediction precision is further improved.
In an alternative embodiment, referring to fig. 5, this step S230 may include the following:
step S231: acquiring an average difference value of adjacent stable annual yields of the oil wells according to the average number of production days decreased every month, the initial daily yield before the oil wells are decreased and the initial daily decrement rate;
specifically, the following formula is adopted:
Qy-1-Qy＝(12m)2q0Ddi
wherein Q isy-1-QyAverage difference representing adjacent steady annual production of wells, m represents average days of diminishing production per month, q0Indicating the initial daily production before the well is degressive, DdiIndicating the initial daily decrement rate.
It is worth noting that the difference between any adjacent stable annual production rates of linearly decreasing production wells is constant.
Step S232: and acquiring the initial annual output of the oil well according to the average difference value of the adjacent stable annual outputs of the oil wells and the stable annual output of the 1 st year of the degressive production.
Specifically, the following formula is adopted:
Q 0 ＝Q 1 +(Qy-1-Qy)
wherein Q is 0 Indicating the initial annual production of the well, Q 1 Represents a steady annual yield, Q, of the 1 st year of decreasing productiony-1-QyRepresenting the average difference in adjacent stable annual production of the well.
By adopting the technical scheme, the recoverable reserve formula of the crude oil technology for predicting the straight descending period is derived according to the attribute characteristics of the constant annual output equal difference data series of the oil well in the straight descending period, and the error of the calculation result is reduced.
In an alternative embodiment, the step S300 can be implemented by the following formula:
wherein,NRTrepresenting the recoverable reserves of crude oil technology, 104t，NoRepresenting cumulative production of crude oil before decreasing production, 104t, m represents the average number of days of production per month, DyiIndicating the initial annual rate of decline.
By adopting the technical scheme, the recoverable reserves of the crude oil technology can be accurately predicted.
The method for predicting the recoverable reserves of the crude oil technology provided by the invention is illustrated by the following examples:
the HN24 well is put into operation, namely, the descending production is started, the initial stable daily yield before the straight line descending production is 58.0t/d, the accumulative production of crude oil before the straight line descending production is 0t, the average descending production is 15.5937 days every month, and the stable daily yield, the stable annual yield and the accumulative production of crude oil of the oil well in the descending period are shown in the HN24 well descending production data table 1 and figure 6.
TABLE 1HN24 well straight-line degressive production data sheet
From Table 1 and known conditions, it can be determined that HN24 well has an initial steady daily production q0And decreasing the cumulative yield N of crude oil before productiono：
q0＝58.0t/d
No＝0×104t
Determining the average decreasing production days m per month of the oil well in the linear decreasing period:
m＝15.593669d
calculating initial daily decrement rate D of HN24 welldi：
Determining the average value of the yield difference between adjacent stable years in the descending period, and ensuring that the descending of the oil well yield accords with the linear descending characteristic; then calculating the initial annual production Q of HN24 well 0 And initial annual rate of decline Dyi：
Qy-1-Qy＝512.5667t/a
Q 0 ＝Q 1 +512.5667＝11292.5667t/a
Calculating the recoverable reserve N of HN24 well crude oil technologyRT：
HN24 well exploration crude oil geological reserve 51 x 104t, the recoverable reserves of the crude oil technology calculated by the static method for the well are 12.20 multiplied by 104t; the recoverable reserve of the crude oil technology is calculated by adopting the successive subtraction method (the invention) to be 11.88 multiplied by 104t is matched with the calculated value by a static method.
Based on the same inventive concept, the embodiment of the present application further provides a device for predicting the recoverable reserves of the crude oil technology, which can be used for implementing the method described in the above embodiment, as described in the following embodiment. The principle of the device for predicting the recoverable reserves of the crude oil technology for solving the problems is similar to that of the method, so the implementation of the device for predicting the recoverable reserves of the crude oil technology can be referred to the implementation of the method, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
FIG. 7 is a block diagram of an apparatus for predicting recoverable reserves of crude oil technology in an embodiment of the present invention. As shown in fig. 7, the device for predicting recoverable reserves of crude oil technology specifically comprises: an oil production data acquisition module 10, a parameter acquisition module 20, and a prediction module 30.
The oil production data acquisition module 10 acquires oil production data of a target linear decreasing production well;
the parameter acquisition module 20 acquires the cumulative yield of crude oil before decreasing production, the average decreasing production days per month, the initial annual rate of decrease of the oil well and the initial annual yield of the oil well according to the oil production data;
the prediction module 30 obtains the technical recoverable reserves of the crude oil based on the cumulative production of the crude oil prior to the incremental decrease, the average number of days of production per month, the initial annual rate of decline of the oil well, and the initial annual production of the oil well.
In summary, the device for predicting recoverable reserves of crude oil technology provided by the embodiment of the invention can obtain recoverable reserves of crude oil technology according to the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual declining rate of oil well and the initial annual yield of oil well, thereby improving the prediction accuracy of recoverable reserves of crude oil technology.
In an alternative embodiment, referring to fig. 8, the parameter obtaining module 20 includes: a parameter acquisition unit 21, an initial daily decrement rate acquisition unit 22, an initial annual production amount acquisition unit 23, and an initial annual decrement rate acquisition unit 24.
The parameter acquiring unit 21 acquires cumulative yield of crude oil before degressive production, average degressive production days per month, initial daily yield before degressive production of an oil well, stable daily yield in a straight degressive period and stable annual yield in the 1 st year of degressive production according to the oil production data;
the initial daily decrement rate obtaining unit 22 obtains an initial daily decrement rate according to the initial daily output before the oil well degressive production and the stable daily output in the straight degressive period;
the initial annual production obtaining unit 23 obtains the initial annual production of the oil well according to the stable annual production of the 1 st year of the degressive production, the average degressive production days per month, the initial daily production before the degressive production of the oil well, and the initial daily decrement rate;
the initial annual decrement rate obtaining unit 24 obtains an initial annual decrement rate based on the average monthly decrement production days, the initial daily decrement rate, the initial daily production before the oil well decremental production, and the initial annual production of the oil well.
In an alternative embodiment, referring to fig. 9, the initial annual production obtaining unit 23 may include: an average difference acquisition sub-unit 23a and an initial annual yield acquisition sub-unit 23 b.
The average difference obtaining subunit 23a obtains the average difference of the adjacent stable annual output of the oil well according to the average number of production days decreased per month, the initial daily output before the oil well is decreased and the initial daily decrement rate;
the initial annual capacity obtaining subunit 23b obtains the initial annual capacity of the well from the average difference between the adjacent stable annual capacities of the wells and the stable annual capacity of the 1 st year of the decreasing production.
The apparatuses, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or implemented by a product with certain functions. A typical implementation device is an electronic device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the electronic device specifically includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the following steps when executing the program:
obtaining oil production data of a target linear degressive production well;
acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well.
As can be seen from the above description, the electronic device provided in the embodiment of the present invention may be configured to predict recoverable reserves of crude oil technologies, and improve the accuracy of predicting recoverable reserves of crude oil technologies by obtaining recoverable reserves of crude oil technologies according to the cumulative yield of crude oil before degressive production, the average days of degressive production per month, the initial annual declining rate of oil wells, and the initial annual yield of oil wells.
Referring now to FIG. 10, shown is a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 10, the electronic apparatus 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 608.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, an embodiment of the invention includes a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
obtaining oil production data of a target linear degressive production well;
acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well.
As can be seen from the above description, the computer-readable storage medium provided by the embodiments of the present invention can be used for predicting the recoverable reserves of crude oil technology, and can improve the accuracy of the prediction of the recoverable reserves of crude oil technology by obtaining the recoverable reserves of crude oil technology according to the cumulative production of crude oil before the degressive production, the average days of degressive production per month, the initial annual declining rate of oil wells, and the initial annual production of oil wells.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (12)
1. A method of predicting recoverable reserves of a crude oil technology, comprising:
obtaining oil production data of a target linear degressive production well;
acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
and acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well.
2. The method of predicting crude oil technical recoverable reserves of claim 1, wherein said deriving from said production data cumulative production before declining production, average days per month declining production, initial annual well rate of decline and initial annual well production comprises:
acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial daily yield before degressive production of the oil well, the stable daily yield in the linear degressive period and the stable annual yield in the 1 st year of degressive production according to the oil production data;
acquiring an initial daily decrement rate according to the initial daily output before the oil well degressive production and the stable daily output in the linear degressive period;
acquiring the initial annual output of the oil well according to the stable annual output of the 1 st year of degressive production, the average degressive production days per month, the initial daily output before the degressive production of the oil well and the initial daily decrement rate;
and acquiring an initial annual decrement rate according to the average production days per month decrement, the initial daily decrement rate, the initial daily yield before the oil well decrement production and the initial annual yield of the oil well.
3. The method of predicting crude oil technical recoverable reserves of claim 2, wherein said deriving said initial annual production of said well from said steady annual production for the 1 st year of declining production, said average days of declining production per month, said initial daily production before declining production of said well, and said initial daily decrement rate comprises:
acquiring an average difference value of adjacent stable annual yields of the oil wells according to the average number of production days decreased every month, the initial daily yield before the oil wells are decreased and the initial daily decrement rate;
and acquiring the initial annual output of the oil well according to the average difference value of the adjacent stable annual outputs of the oil wells and the stable annual output of the 1 st year of the degressive production.
4. The method of predicting crude oil technical recoverable reserves of claim 3, wherein said obtaining the average difference between adjacent stable annual production rates of wells from said average days of decreasing production per month, initial daily production before decreasing production of wells, and initial daily decrement rate is performed using the following formula:
Qy-1-Qy＝(12m)2q0Ddi
wherein Q isy-1-QyAverage difference representing adjacent steady annual production of wells, m represents average days of diminishing production per month, q0Indicating the initial daily production before the well is degressive, DdiIndicating the initial daily decrement rate.
5. The method of predicting crude oil technical recoverable reserves of claim 3, wherein said deriving the initial annual production rate of said well from the average difference between adjacent stable annual productivities of said well and said stable annual production rate of the decreasing production year 1 is performed using the following formula:
Q 0 ＝Q 1 +(Qy-1-Qy)
wherein Q is 0 Indicating the initial annual production of the well, Q 1 Represents a steady annual yield, Q, of the 1 st year of decreasing productiony-1-QyRepresenting the average difference in adjacent stable annual production of the well.
6. The method of predicting crude oil technical recoverable reserves of claim 5, wherein said deriving an initial annual rate from said average days to decrement per month, said initial daily rate of decline, said initial daily production before decrement to well, and said initial annual production to well is accomplished using the following formula:
wherein D isyiIndicates the initial annual rate of decline, Q 0 Indicating the initial annual production of the well, Qy-1-QyRepresenting the average difference in adjacent stable annual production of the well.
7. The method of predicting crude oil technical recoverable reserves of claim 1, wherein said deriving crude oil technical recoverable reserves from said cumulative production of crude oil prior to declining production, said average declining days of production per month, said initial annual rate of decline of said well, and said initial annual production of said well comprises:
wherein N isRTRepresenting the recoverable reserves of crude oil technology, 104t，NoRepresenting cumulative production of crude oil before decreasing production, 104t, m represents the average number of days of production per month, DyiIndicating the initial annual rate of decline.
8. An apparatus for predicting recoverable reserves of a crude oil technology, comprising:
the oil production data acquisition module is used for acquiring oil production data of the target linear decreasing production well;
the parameter acquisition module is used for acquiring the cumulative yield of crude oil before degressive production, the average degressive production days per month, the initial annual rate of decline of the oil well and the initial annual yield of the oil well according to the oil production data;
and the prediction module is used for acquiring the recoverable reserves of the crude oil technology according to the cumulative yield of the crude oil before the degressive production, the average degressive production days per month, the initial annual decline rate of the oil well and the initial annual yield of the oil well.
9. The apparatus for predicting crude oil technical recoverable reserves of claim 8, wherein the parameter acquisition module comprises:
the parameter acquisition unit is used for acquiring the cumulative yield of crude oil before degressive production, the average production days per month, the initial daily yield before degressive production of the oil well, the stable daily yield of a straight degressive period and the stable annual yield of the degressive production in the 1 st year according to the oil production data;
an initial daily decrement rate obtaining unit for obtaining an initial daily decrement rate according to the initial daily output before the oil well degressive production and the stable daily output in the linear degressive period;
an initial annual output acquisition unit which acquires the initial annual output of the oil well according to the stable annual output of the 1 st year of the degressive production, the average degressive production days per month, the initial daily output before the degressive production of the oil well and the initial daily decrement rate;
and the initial annual decrement rate obtaining unit is used for obtaining the initial annual decrement rate according to the average monthly decrement production days, the initial daily decrement rate, the initial daily yield before the oil well decremental production and the initial annual yield of the oil well.
10. The apparatus for predicting technical recoverable reserve of crude oil according to claim 9, wherein the initial annual production obtaining unit comprises:
the average difference value obtaining subunit is used for obtaining the average difference value of the adjacent stable annual output of the oil wells according to the average descending production days per month, the initial daily output before descending production of the oil wells and the initial daily decrement rate;
and the initial annual output acquisition subunit acquires the initial annual output of the oil well according to the average difference value of the adjacent stable annual outputs of the oil well and the stable annual output of the 1 st year of the degressive production.
11. An electronic 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 program performs the steps of the method of predicting crude oil technical recoverable reserves of any of claims 1 to 7.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of predicting crude oil technical recoverable reserves of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911343318.9A CN113033858B (en) | 2019-12-24 | 2019-12-24 | Method and device for predicting recoverable reserves of crude oil technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911343318.9A CN113033858B (en) | 2019-12-24 | 2019-12-24 | Method and device for predicting recoverable reserves of crude oil technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113033858A true CN113033858A (en) | 2021-06-25 |
| CN113033858B CN113033858B (en) | 2024-05-03 |
Family
ID=76451311
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911343318.9A Active CN113033858B (en) | 2019-12-24 | 2019-12-24 | Method and device for predicting recoverable reserves of crude oil technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113033858B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106194154A (en) * | 2016-07-11 | 2016-12-07 | 西南石油大学 | A kind of unconventionaloil pool hides medium-term and long-term PRODUCTION FORECASTING METHODS |
| CN106337680A (en) * | 2015-07-13 | 2017-01-18 | 中国石油化工股份有限公司 | Method of determining recoverable reserves in oil reservoir production wells |
| CN107423844A (en) * | 2017-06-06 | 2017-12-01 | 西南石油大学 | A kind of new method for predicting shale gas/tight gas wells recoverable reserves |
| US20190251460A1 (en) * | 2018-02-14 | 2019-08-15 | Duc Lam | Method for predicting oil and gas reservoir production |
| US20190332960A1 (en) * | 2018-04-27 | 2019-10-31 | RS Energy Group Topco, Inc. CA | System and method for oil and gas predictive analytics |
-
2019
- 2019-12-24 CN CN201911343318.9A patent/CN113033858B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106337680A (en) * | 2015-07-13 | 2017-01-18 | 中国石油化工股份有限公司 | Method of determining recoverable reserves in oil reservoir production wells |
| CN106194154A (en) * | 2016-07-11 | 2016-12-07 | 西南石油大学 | A kind of unconventionaloil pool hides medium-term and long-term PRODUCTION FORECASTING METHODS |
| CN107423844A (en) * | 2017-06-06 | 2017-12-01 | 西南石油大学 | A kind of new method for predicting shale gas/tight gas wells recoverable reserves |
| US20190251460A1 (en) * | 2018-02-14 | 2019-08-15 | Duc Lam | Method for predicting oil and gas reservoir production |
| US20190332960A1 (en) * | 2018-04-27 | 2019-10-31 | RS Energy Group Topco, Inc. CA | System and method for oil and gas predictive analytics |
Non-Patent Citations (1)
| Title |
|---|
| 王俊魁;: "油气藏产量递减规律的研究与可采储量的预测", 新疆石油地质, no. 02, 30 April 2007 (2007-04-30), pages 189 - 193 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113033858B (en) | 2024-05-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20160034835A1 (en) | Future cloud resource usage cost management | |
| US11281986B2 (en) | Estimating utilization of network resources using time series data | |
| US20200183653A1 (en) | System and method for task-based estimation and planning of application development projects and resources | |
| CN109034493A (en) | A kind of account balance prediction technique and device | |
| CN111101929A (en) | Method, device and system for calculating average formation pressure of oil and gas reservoir | |
| CN113033859B (en) | Method and device for predicting accumulated crude oil yield in linear decreasing period | |
| CN112081565B (en) | Method and device for determining volume sweep coefficient of water-drive reservoir | |
| CN110766232A (en) | Dynamic prediction method and system thereof | |
| CN113033858B (en) | Method and device for predicting recoverable reserves of crude oil technology | |
| CN113033857B (en) | Method and device for predicting initial annual output of linear decreasing production well | |
| CN113027414B (en) | Method and device for predicting economic recoverable reserves of crude oil | |
| CN113033856B (en) | Method and device for predicting initial decreasing rate of linear decreasing production well | |
| CN113033855B (en) | Method and device for predicting oil well technology limit decreasing production calendar years | |
| CN111125916A (en) | Oil and gas drilling period prediction method and device | |
| US20240020436A1 (en) | Automated data quality monitoring and data governance using statistical models | |
| CN110956318A (en) | Method and device for predicting based on pre-constructed prediction model | |
| CN111260384A (en) | Service order processing method and device, electronic equipment and storage medium | |
| Yin et al. | Convexity of ruin probability and optimal dividend strategies for a general Lévy process | |
| CN114257521A (en) | Flow prediction method, device, electronic equipment and storage medium | |
| CN111292205B (en) | Judicial data analysis method, device, equipment and storage medium | |
| US20200302550A1 (en) | Cost allocation estimation using direct cost vectors and machine learning | |
| CN112784213A (en) | Method and device for generating information | |
| CN113392372A (en) | Gas well full-life-cycle unobstructed flow determination method and system | |
| CN110046982A (en) | A kind of interest-bearing data processing method and device | |
| CN115687311A (en) | Time series data interpolation method, device, equipment, medium and program product |
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 |