CN111322037A - Horizontal well self-adaptive flow control water section well completion method - Google Patents
Horizontal well self-adaptive flow control water section well completion method Download PDFInfo
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Abstract
The invention discloses a horizontal well self-adaptive flow control water section well completion method, which comprises the following two steps: establishing a calculation model for optimizing well completion parameters of the adaptive flow control water section of the horizontal well; and optimizing the self-adaptive flow control water well completion parameters of the horizontal well. The method solves the technical problem that the change of the well completion optimization design effect along with time is not considered in the static simulation in the prior art. According to the method, a calculation model for optimizing the well completion parameters of the horizontal well self-adaptive flow control water segment is established, so that a dynamic simulation method for the well completion parameters of the horizontal well flow control water control sieve tube is provided, the design parameters can be continuously optimized along with time change, and the rapid promotion of the edge water and the bottom water of the horizontal well is limited to improve the ultimate recovery ratio of an oil reservoir.
Description
Technical Field
The invention relates to the technical field of oil and gas exploration and development, in particular to a horizontal well self-adaptive flow control water section well completion method.
Background
The horizontal well flow regulating and water controlling sectional completion process belongs to the field of open hole horizontal well screen pipe completion sectional water controlling process, and is one oil or water swelling packer is adopted to segment the horizontal well, and flow regulating and water controlling screen pipe is set between the packers.
The horizontal well flow-regulating and water-controlling segmented completion process designs parameters of flow-regulating and water-controlling sieve tubes in each horizontal well section according to parameters such as reservoir characteristics, horizontal section length and design productivity of each well, thereby achieving the purposes of automatically balancing production pressure difference and liquid production profile along the whole horizontal well section, delaying water inrush from edge and bottom, reducing dead oil zones and improving oil production and recovery ratio. In addition, even acid injection can be realized through the flow passage of the sieve tube. The technology integrates sand prevention, oil and water stabilization and yield increase, is simple and convenient to operate, and is economical and practical.
Along with the continuous deepening of oil and gas field development at home and abroad, new throttling and water controlling devices, such as self-adaptive flow control devices, are continuously developed to meet the development requirements of oil and gas fields with complex edges and bottom water. In the current stage flow regulating and water controlling segmented well completion design, the water controlling device is in a nozzle type, a flow channel type, a spiral type and the like, only the influence of single-phase water and single-phase oil on the performance of the flow regulating and water controlling device is considered, but the performance parameters of oil-water mixed liquid passing through the flow regulating and water controlling device are not considered, but in the actual oil field production process, the flow regulating and water controlling device controls the oil-water mixed liquid with different water contents in most working time, and the oil stabilizing and water controlling performance of the oil-water mixed liquid is an important parameter considered by the flow regulating and water controlling segmented well completion design.
The current well completion parameter design method of the horizontal well flow regulating and water controlling sieve tube is static simulation, flow units are reasonably divided into horizontal well sections through well trajectory, well diameter, well logging permeability, oil saturation and other drilling completion data, the production allocation condition of each flow unit is determined by combining the yield of adjacent wells, production pressure difference, single well reasonable production allocation and the like, but the change of the well completion optimization design effect along with time is not considered.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a horizontal well self-adaptive flow control water section well completion method, which comprises the following steps:
s1, segmenting the horizontal well according to the permeability distribution characteristics of the near-wellbore region of the horizontal well, wherein each well segment comprises at least one adaptive flow control water sieve tube;
s2, dividing the fluid flow of each well section into three parts: the stratum production fluid flows from an oil reservoir to the wall of the open hole well of the horizontal well, flows of the stratum production fluid in the self-adaptive flow control controller and variable mass flows in the self-adaptive flow control water screen pipe base pipe;
s3, respectively establishing a flow model of reservoir seepage between a reservoir and the open-hole wall of a horizontal well, a flow model of fluid in an adaptive flow control device and a variable mass flow model in an adaptive flow control water screen pipe base pipe;
s4, coupling the established flow model of the oil reservoir seepage between the oil reservoir and the open-hole wall of the horizontal well, the flow model of the fluid in the adaptive flow control device and the variable mass flow model in the adaptive flow control water screen pipe base pipe to obtain a horizontal well flow control water screen pipe and oil reservoir seepage coupling model;
s5, obtaining a pressure distribution profile, an inflow distribution profile and the productivity change of the whole well along a shaft during horizontal well flow control and water control segmented well completion according to the horizontal well flow control and water control sieve tube and an oil reservoir seepage coupling model, and establishing a calculation model for horizontal well adaptive flow control and water segment well completion parameter optimization;
and S6, optimizing the horizontal well adaptive flow control water segment well completion parameters according to the established calculation model for the horizontal well adaptive flow control water segment well completion parameter optimization.
In one embodiment, in step S1, the adaptive flow control water screen includes a throttle controller and a fine composite screen.
In one embodiment, in step S2, the axial flow of the fluid in the annular cavity between the horizontal well open hole wall and the adaptive flow control water screen protection sleeve and the axial flow in the annular cavity in the adaptive flow control water screen are set to zero.
In one embodiment, in the step S3, the flow model of the fluid in the adaptive throttle controller is obtained by performing experiments on adaptive throttle controllers with different specifications and performing fitting regression on the basis of the obtained experimental data.
In one embodiment, the flow model of the fluid in the adaptive throttle controller obtained by performing experiments on the adaptive throttle controllers of 6 different specifications and performing fitting regression on the basis of the obtained experimental data is as follows:
① the outlet diameter of the adaptive throttle control was 2.5mm, and the measured differential flow pressure was:
Δ P (water) ═ 0.89276-0.67585Q +0.21603Q2-0.02142Q3+(9.37399E-4)Q4
Δ P (oil) ═ 0.48977-0.23995Q +0.05164Q2-0.00402Q3+(1.20869E-4)Q4
② adaptive throttle control has an outlet diameter of 3.0mm and a measured differential flow pressure of:
Δ P (water) ═ 0.17814+0.12898Q-0.01221Q2+0.00415Q3+(-1.65263E-4)Q4
Δ P (oil) ═ 0.08711-0.00665Q + (5.80195E-4) Q2+(7.11374E-4)Q3-(4.17653E-5)Q4
③ the outlet diameter of the adaptive throttle control was 3.5mm, and the measured differential flow pressure was:
Δ P (water) ═ 0.08657-0.03783Q +0.01999Q2+(2.3149E-4)Q3-(2.00523E-5)Q4
Δ P (oil) ═ 0.62204-0.26091Q +0.04445Q2-0.00288Q3+(7.14474E-5)Q4
④ adaptive throttle control has an outlet diameter of 4.0mm and a measured differential flow pressure of:
Δ P (water) ═ 0.3486-0.20795Q +0.0539Q2-0.00315Q3+(8.49569E-5)Q4
Δ P (oil) ═ 0.90416-0.35648Q +0.05452Q2-0.0033Q3+(7.60972E-5)Q4
⑤ the outlet diameter of the adaptive throttle control was 4.5mm, and the measured differential flow pressure was:
Δ P (water) ═ 1.06454-0.53018Q +0.10058Q2-0.00622Q3+(1.51393E-4)Q4
Δ P (oil) ═ 1.3019-0.47049Q +0.06429Q2-0.00358Q3+(7.56926E-5)Q4
⑥ adaptive throttle control has an outlet diameter of 5.0mm and a measured differential flow pressure of:
Δ P (water) ═ 0.89876-0.49039Q +0.0961Q2-0.0062Q3+(1.50914E-4)Q4
Δ P (oil) ═ 0.69566-0.25003Q +0.03321Q2-0.00167Q3+(3.21254E-5)Q4。
In one embodiment, the step S6 includes:
s61, dividing the horizontal well into a plurality of flow units according to the well logging interpretation data;
s62, determining the production allocation of each flow unit;
s63, solving the model by using the calculation model for optimizing the well completion parameters of the horizontal well adaptive flow control water section, and performing parameter calculation by using the highest oil well ultimate recovery rate as a parameter optimization basis to obtain the final well adaptive water screen pipe well completion parameters of the horizontal well.
In one embodiment, in step S61, the well logging interpretation data includes well bore trajectory, well diameter, permeability distribution, oil saturation, natural gamma log, natural potential log, and electrical logging interpretation results.
In one embodiment, the co-production of each flow cell is determined in step S62 in conjunction with the production of the adjacent well, the sensible production pressure differential, and the sensible per-well co-production.
In one embodiment, step S63 specifically includes: the method comprises the steps of applying a calculation model for optimizing the well completion parameters of the horizontal well adaptive flow control water section, reasonably configuring the number of the horizontal section sectional sections, the setting position of a packer, the number and the types of the adaptive flow control water devices in each horizontal well according to drilling data, oil reservoir physical properties, oil well production allocation and the like of the horizontal well, combining oil reservoir parameters in different production time, different yield and different adaptive flow control water sieve tube configuration schemes, and obtaining the well completion parameters of the flow control water sieve tube with uniform production fluid profiles according to the maximum recovery ratio of the whole oil well life cycle, thereby optimizing the well completion parameters of the horizontal well adaptive flow control water sieve tube.
In one embodiment, the reservoir parameters include: the change condition of the bottom water of the oil reservoir, the oil saturation of the oil reservoir, the water saturation of the oil reservoir, the porosity and permeability of the oil reservoir, the relative permeability of oil and water and the boundary of the oil reservoir.
Compared with the prior art, the method has the advantages that the technical problem that the change of the well completion optimization design effect along with the time is not considered in the static simulation of the prior art is solved. According to the method, a calculation model for optimizing the well completion parameters of the horizontal well self-adaptive flow control water segment is established, so that a dynamic simulation method for the well completion parameters of the horizontal well flow control water control sieve tube is provided, the design parameters can be continuously optimized along with time change, and the rapid promotion of the edge water and the bottom water of the horizontal well is limited to improve the ultimate recovery ratio of an oil reservoir.
Drawings
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the figure:
fig. 1 shows a schematic flow chart of a horizontal well adaptive flow control water section completion method according to an embodiment of the invention.
FIG. 2 shows a schematic diagram of the horizontal well water control screen segmented completion formation fluid flow resistance breakdown according to an embodiment of the present invention.
FIG. 3 illustrates a horizontal well adaptive water screen completion parameter design method according to an embodiment of the invention.
FIG. 4 shows an XX well reservoir property model in accordance with an embodiment of the invention.
FIG. 5 shows a XX well reservoir numerical simulation modeling diagram according to an embodiment of the invention.
FIG. 6 shows a schematic diagram of a horizontal well section of a XX well in accordance with an embodiment of the present invention.
FIG. 7 shows a XX well flow regulating and water controlling screen completed wellbore model set-up in accordance with an embodiment of the invention.
FIG. 8 is a schematic diagram showing the water cut variation for different completion conditions for a XX well according to an embodiment of the present invention.
FIG. 9 shows a schematic diagram of the simulation results of bottom water rise using a nozzle type water control screen (1.6mm +5 mm).
FIG. 10 is a graph showing the results of a simulation of bottom water rise using an adaptive water screen (3mm +5 mm).
In the drawings, like parts are provided with like reference numerals. The figures are not drawn to scale.
Detailed Description
The invention will be further explained with reference to the drawings.
Fig. 1 shows a horizontal well adaptive flow control water section completion method according to the invention, which comprises the following two major steps: step one, establishing a calculation model for optimizing well completion parameters of a horizontal well self-adaptive flow control water section; and step two, optimizing the horizontal well adaptive flow control water segment well completion parameters according to the established calculation model for optimizing the horizontal well adaptive flow control water segment well completion parameters.
The method solves the technical problem that the change of the well completion optimization design effect along with time is not considered in the static simulation in the prior art. According to the method, a calculation model for optimizing the well completion parameters of the horizontal well self-adaptive flow control water segment is established, so that a dynamic simulation method for the well completion parameters of the horizontal well flow control water control sieve tube is provided, the design parameters can be continuously optimized along with time change, and the rapid promotion of the edge water and the bottom water of the horizontal well is limited to improve the ultimate recovery ratio of an oil reservoir.
In one embodiment, the first step includes the following steps S1-S5:
and S1, segmenting the horizontal well according to the permeability distribution characteristics of the near-wellbore region of the horizontal well, wherein each well segment comprises at least one adaptive flow control water sieve tube.
Preferably, each adaptive flow control water screen comprises two parts, namely a throttle controller and a precise composite screen. The parts having the flow control function are throttle controllers, although the types of the throttle controllers are different, the basic principles are similar, the stratum liquid production passing through each screen pipe section is controlled in a centralized mode, different flow pressure differences are generated when the stratum liquid production passes through the throttle controllers, and a balanced liquid production profile is adjusted by reasonably configuring the structural parameters of the throttle controllers in the flow control water screen pipes in each horizontal well section.
S2, as shown in fig. 2, dividing the fluid flow of each interval into three parts: the seepage of the formation production fluid from the reservoir to the reservoir between the open-hole walls of the horizontal wells (shown by an arrow a in the figure), the flow of the formation production fluid in the adaptive throttling controller (shown by an arrow b in the figure) and the variable mass flow in the adaptive flow control water screen base pipe (shown by an arrow c in the figure).
The fluid flow of each well section is divided into three parts, namely the axial flow of the fluid in the annular cavity between the open hole well wall of the horizontal well and the protective sleeve of the self-adaptive flow control water sieve tube and the axial flow in the annular cavity in the self-adaptive flow control water sieve tube are omitted.
S3, respectively establishing a flow model of reservoir seepage of stratum fluid from a reservoir to the wall of the open hole of the horizontal well, a flow model of fluid in the adaptive flow control device and a variable mass flow model in the adaptive flow control water screen pipe.
The influence of the boundary is processed by utilizing the superposition principle and a mirror image reflection method, a three-dimensional transient point source/point sink solution in the box-shaped closed oil reservoir is integrated for a time period to obtain a three-dimensional point source/point sink continuous solution, the three-dimensional point source/point sink continuous solution is integrated along any shaft unit section to obtain the potential influence of the unit section on any position of the oil reservoir, and the potential drop at the equivalent shaft radius of the middle point of any shaft unit section is obtained by the potential superposition principle, so that the oil reservoir seepage model of the complex-structure well under the condition of infinite diversion assumption is obtained.
Because of the pressure drop in the base pipe, the on-way pressure drop of the fluid flowing along the well bore can be divided into the following steps when the variable mass flow calculation model in the base pipe is established: acceleration pressure drop, gravity pressure drop, friction pressure drop.
The flow of the fluid in the adaptive throttling controller is very complex, and a theoretical calculation model of the fluid cannot be established. Therefore, on the basis of indoor performance tests of the adaptive flow control controllers with different specifications, a performance curve of the adaptive flow control controller measured by the tests is fitted and regressed to obtain a calculation equation of the adaptive flow control controller, so that the adaptive flow control water section well completion parameter optimization calculation model of the horizontal well is applied.
In one embodiment, 6 different specifications of adaptive throttle controllers were selected for testing:
① the outlet diameter of the adaptive throttle control was 2.5mm, and the measured differential flow pressure was:
Δ P (water) ═ 0.89276-0.67585Q +0.21603Q2-0.02142Q3+(9.37399E-4)Q4
Δ P (oil) ═ 0.48977-0.23995Q +0.05164Q2-0.00402Q3+(1.20869E-4)Q4
② adaptive throttle control has an outlet diameter of 3.0mm and a measured differential flow pressure of:
Δ P (water) ═ 0.17814+0.12898Q-0.01221Q2+0.00415Q3+(-1.65263E-4)Q4
Δ P (oil) ═ 0.08711-0.00665Q + (5.80195E-4) Q2+(7.11374E-4)Q3-(4.17653E-5)
Q4
③ the outlet diameter of the adaptive throttle control was 3.5mm, and the measured differential flow pressure was:
Δ P (water) ═ 0.08657-0.03783Q +0.01999Q2+(2.3149E-4)Q3-(2.00523E-5)Q4
Δ P (oil) ═ 0.62204-0.26091Q +0.04445Q2-0.00288Q3+(7.14474E-5)Q4
④ adaptive throttle control has an outlet diameter of 4.0mm and a measured differential flow pressure of:
Δ P (water) ═ 0.3486-0.20795Q +0.0539Q2-0.00315Q3+(8.49569E-5)Q4
Δ P (oil) ═ 0.90416-0.35648Q +0.05452Q2-0.0033Q3+(7.60972E-5)Q4
⑤ the outlet diameter of the adaptive throttle control was 4.5mm, and the measured differential flow pressure was:
Δ P (water) ═ 1.06454-0.53018Q +0.10058Q2-0.00622Q3+(1.51393E-4)Q4
Δ P (oil) ═ 1.3019-0.47049Q +0.06429Q2-0.00358Q3+(7.56926E-5)Q4
⑥ adaptive throttle control has an outlet diameter of 5.0mm and a measured differential flow pressure of:
Δ P (water) ═ 0.89876-0.49039Q +0.0961Q2-0.0062Q3+(1.50914E-4)Q4
Δ P (oil) ═ 0.69566-0.25003Q +0.03321Q2-0.00167Q3+(3.21254E-5)Q4。
Corresponding flow differential pressure calculation formulas under different conditions are regressed by fitting the indoor test data of the 6 adaptive flow control controllers with different specifications, and the flow rule of the adaptive flow control water device in the parameter design model can be described through the differential pressure calculation formulas.
After the three-part flow model is established, step S4 is executed to couple the three-part flow model. During coupling, the method needs to be established on the basis of analyzing the physical process of flow of the well completion fluid of the horizontal well with the flow regulating and water controlling screen pipe.
And S4, coupling the established flow model of the oil reservoir seepage between the oil reservoir and the open-hole wall of the horizontal well, the flow model of the fluid in the adaptive flow control device and the variable mass flow model in the adaptive flow control water screen base pipe to obtain the flow control water screen pipe and oil reservoir seepage coupling model of the horizontal well.
S5, obtaining a pressure distribution profile, an inflow distribution profile and the productivity change of the whole well along the shaft during horizontal well flow regulation and water control segmented well completion according to the coupling model of the horizontal well flow regulation and water control screen pipe and the oil reservoir seepage.
The method considers a novel horizontal well adaptive flow control water device, namely a flow pressure difference generated by an adaptive flow control device is changed along with the change of the liquid production amount and can generate different pressure differences according to the different properties of the liquid production amount, and a dynamic simulation parameter design method, namely a well completion optimization design method with the design effect changing along with time is adopted to continuously optimize the design parameters, so that the aim of limiting the rapid promotion of the edge and bottom water of a horizontal well and improving the final recovery ratio of an oil reservoir is fulfilled.
In one embodiment, the second step includes the following steps S61-S63, as shown in fig. 3:
and S61, dividing the horizontal well into a plurality of flow units according to the well logging interpretation data. Preferably, the well logging interpretation data comprises well drilling well path, well diameter, permeability distribution, oil saturation, natural gamma logging curve (GR), natural potential logging curve (SP), electric measurement interpretation achievement and the like.
And S62, determining the production allocation of each flow unit. Preferably, the allocation for each flow cell is determined in conjunction with the production of the adjacent well, the rational production pressure differential, and the rational allocation for the individual well.
S63, solving the model by using the calculation model for optimizing the well completion parameters of the horizontal well adaptive flow control water section, and performing parameter calculation by using the highest oil well ultimate recovery rate as a parameter optimization basis to obtain the final well adaptive water screen pipe well completion parameters of the horizontal well.
In one embodiment, before step S61, the method further includes performing flow regulation and water control completion feasibility analysis and evaluation according to the reservoir geological characteristics, reservoir development characteristics, adjacent well production conditions, and adjacent well drilling and completion conditions.
In an embodiment, step S63 specifically includes: the method comprises the steps of applying a calculation model for optimizing the well completion parameters of the horizontal well adaptive flow control water section, reasonably configuring the number of the horizontal section sectional sections, the setting position of a packer, the number and the types of the adaptive flow control water devices in each horizontal well according to drilling data, oil reservoir physical properties, oil well production allocation and the like of the horizontal well, combining oil reservoir parameters in different production time, different yield and different adaptive flow control water sieve tube configuration schemes, and obtaining the well completion parameters of the flow control water sieve tube with uniform production fluid profiles according to the maximum recovery ratio of the whole oil well life cycle, thereby optimizing the well completion parameters of the horizontal well adaptive flow control water sieve tube.
In one embodiment, the reservoir parameters include: the change condition of the bottom water of the oil reservoir, the oil saturation of the oil reservoir, the water saturation of the oil reservoir, the porosity and permeability of the oil reservoir, the relative permeability of oil and water and the boundary of the oil reservoir.
In a specific embodiment, based on the oil deposit and drilling completion data of the XX well, the production condition, the water content change and the bottom water rise condition of the XX well under the condition of the horizontal well self-adaptive flow control water segment well completion are simulated by using the horizontal well self-adaptive flow control water segment well completion method.
According to the position of the well and data such as a top construction diagram, permeability and porosity distribution diagram and the like of an interval where the horizontal well is located, an oil reservoir attribute model of the well is established, and as shown in FIG. 4, the darker the color represents the worse the reservoir condition, the higher the water content; the lighter the color, the better the reservoir conditions, and the higher the oil content.
And defining the oil-water interface position in the model according to the high-pressure physical parameters and the phase permeability data of the formation fluid of the block where the well is located and the oil-water interface analysis result in the drilling scheme design. And finally, establishing an XX well model in the oil reservoir model according to the XX well actual well trajectory data, thereby establishing the oil reservoir numerical model of the well, as shown in FIG. 5.
Then, according to the permeability logging curve of the horizontal section of the well, the segmentation principle and the packer position in the well completion optimization design, the number and the position of the horizontal section packers are reasonably configured, so that a flow regulating and water controlling screen pipe well completion shaft model of the well is established, as shown in figures 6 and 7. As shown in fig. 6, packers are disposed at 4799m, 4852m, 4924m, 5016m and 5078m, respectively, to divide the horizontal well section of the well into 4 sections, curve 1, curve 2, curve 3 and curve 4 representing a natural potential log, a natural gamma log, a caliper and a permeability, respectively. The first curve from top to bottom represents the track of the horizontal shaft in the stratum, the S0 curve in the graph represents the curve containing the saturation degree, and the interpretation result is used for explaining the oil layer, the mudstone layer or the poor hydrocarbon layer and the like. In fig. 7, the first curve from top to bottom represents the comprehensive performance of the reservoir physical properties, and the parameters of each section of flow regulating and water controlling device are selected by referring to the curve.
As shown in FIG. 8, the nozzle type flow control screen (1.6mm +5mm) means that 1.6mm nozzles are used in the high production well section and 5mm nozzles are used in the other well sections. Adaptive water screen pipe (3mm +5mm), means to use 3mm nozzle in high-yield well section, other well section use 5mm nozzle. And inputting the well completion parameters into a wellbore model for simulation calculation, wherein the calculation result is shown in figure 8.
In fig. 8, curve a represents the adaptive water control screen, curve B represents the nozzle type water control screen, point C represents the measured data, and point D represents the fitted curve. It can be seen that the simulated calculated water cut rise fits very well to the actual fluid cut change for that well, as shown by the curves B and D in fig. 8. Namely, the coincidence degree of the water content data of the nozzle type water control screen pipe well completion calculated by numerical simulation and the fitting curve D of the actual yield is good, so that the output condition of the well is further predicted under the condition, and the second half part of the water content data of the curve B belongs to prediction. The curve A is a predicted change curve of the water content of the oil well under the condition that the self-adaptive water sieve tube is adopted and the curve B is a predicted well completion condition that the nozzle type water sieve tube is adopted, under the condition that the productivity is consistent, and as can be seen from the graph, the water content of the curve A is obviously lower than that of the curve B under the condition that the oil is produced in the same way, so that the water control effect of the curve A is better than that of the curve B, and the well completion water control effect of the self-adaptive water sieve tube is better than that of the conventional nozzle type water sieve tube.
Fig. 9 is a schematic diagram showing the simulation results of bottom water rising using a nozzle type water control screen (1.6mm +5mm), in fig. 9, a1 denotes a wellbore, B1 denotes a nozzle, C1 denotes an oil layer, D1 denotes a water layer, and E1 denotes a bottom water coning form. Fig. 10 is a schematic diagram showing the results of simulation of bottom water rise using an adaptive water screen (3mm +5mm), in fig. 10, a2 denotes a wellbore, B2 denotes a nozzle, C2 denotes an oil layer, D2 denotes a water layer, and E2 denotes a bottom water coning pattern. It can also be seen from fig. 9 and 10 that the completion water control effect using the adaptive water control screen is superior to that of the conventional nozzle type water control screen.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily make changes or variations within the technical scope of the present invention disclosed, and such changes or variations should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A horizontal well self-adaptive flow control water section well completion method is characterized by comprising the following steps:
s1, segmenting the horizontal well according to the permeability distribution characteristics of the near-wellbore region of the horizontal well, wherein each well segment comprises at least one self-adaptive flow control water sieve tube;
s2, dividing the fluid flow of each well section into three parts: the stratum production fluid flows from an oil reservoir to the wall of the open hole well of the horizontal well, flows in the self-adaptive flow control controller and variable mass flows in the self-adaptive flow control water sieve tube base pipe;
s3, respectively establishing a flow model of reservoir seepage between a reservoir and the open-hole wall of a horizontal well, a flow model of fluid in an adaptive flow control device and a variable mass flow model in an adaptive flow control water screen pipe base pipe;
s4, coupling the established flow model of the oil reservoir seepage between the oil reservoir and the open-hole wall of the horizontal well, the flow model of the fluid in the adaptive flow control device and the variable mass flow model in the adaptive flow control water screen pipe base pipe to obtain a horizontal well flow control water screen pipe and oil reservoir seepage coupling model;
s5, obtaining a pressure distribution profile, an inflow distribution profile and the productivity change of the whole well along a shaft during horizontal well flow control and water control segmented well completion according to the horizontal well flow control and water control sieve tube and an oil reservoir seepage coupling model, and establishing a calculation model for horizontal well adaptive flow control and water segment well completion parameter optimization;
and S6, optimizing the horizontal well adaptive flow control water segment well completion parameters according to the established calculation model for the horizontal well adaptive flow control water segment well completion parameter optimization.
2. The horizontal well adaptive flow control water section completion method according to claim 1, wherein in the step S1, the adaptive flow control water screen comprises a flow controller and a precise composite screen.
3. The horizontal well adaptive flow control water section completion method according to claim 1, wherein in step S2, axial flow of fluid in the annular cavity between the horizontal well open hole wall and the adaptive flow control water screen protective sleeve and axial flow in the annular cavity in the adaptive flow control water screen are set to zero.
4. The horizontal well adaptive flow control water segment completion method according to claim 1, wherein in step S3, the flow model of the fluid in the adaptive flow controller is obtained by performing experiments on adaptive flow controllers of different specifications and performing fitting regression on the basis of the obtained experimental data.
5. The horizontal well adaptive flow control water segment completion method according to claim 4, characterized in that the flow model of the fluid in the adaptive flow control device obtained by performing experiments on 6 types of adaptive flow control devices with different specifications and performing fitting regression on the basis of the obtained experimental data is as follows:
① the outlet diameter of the adaptive throttle control is 2.5mm, the obtained flow pressure difference is:
Δ P (water) ═ 0.89276-0.67585Q +0.21603Q2-0.02142Q3+(9.37399E-4)Q4
Δ P (oil) ═ 0.48977-0.23995Q +0.05164Q2-0.00402Q3+(1.20869E-4)Q4
② the outlet diameter of the adaptive throttle control was 3.0mm, the obtained flow pressure differential was:
Δ P (water) ═ 0.17814+0.12898Q-0.01221Q2+0.00415Q3+(-1.65263E-4)Q4
Δ P (oil) ═ 0.08711-0.00665Q + (5.80195E-4) Q2+(7.11374E-4)Q3-(4.17653E-5)Q4
③ the outlet diameter of the adaptive throttle control was 3.5mm, the obtained flow pressure differential was:
Δ P (water) ═ 0.08657-0.03783Q +0.01999Q2+(2.3149E-4)Q3-(2.00523E-5)Q4
Δ P (oil) ═ 0.62204-0.26091Q +0.04445Q2-0.00288Q3+(7.14474E-5)Q4
④ the outlet diameter of the adaptive throttle control is 4.0mm, the obtained flow pressure difference is:
Δ P (water) ═ 0.3486-0.20795Q +0.0539Q2-0.00315Q3+(8.49569E-5)Q4
Δ P (oil) ═ 0.90416-0.35648Q +0.05452Q2-0.0033Q3+(7.60972E-5)Q4
⑤ the outlet diameter of the adaptive throttle control is 4.5mm, the obtained flow pressure difference is:
Δ P (water) ═ 1.06454-0.53018Q +0.10058Q2-0.00622Q3+(1.51393E-4)Q4
Δ P (oil) ═ 1.3019-0.47049Q +0.06429Q2-0.00358Q3+(7.56926E-5)Q4
⑥ the outlet diameter of the adaptive throttle controller was 5.0mm, the obtained flow pressure differential was:
Δ P (water) ═ 0.89876-0.49039Q +0.0961Q2-0.0062Q3+(1.50914E-4)Q4
Δ P (oil) ═ 0.69566-0.25003Q +0.03321Q2-0.00167Q3+(3.21254E-5)Q4。
6. The horizontal well adaptive flow control water segment completion method according to claim 1, wherein the step S6 comprises:
s61, dividing the horizontal well into a plurality of flow units according to the well logging interpretation data;
s62, determining the production allocation of each flow unit;
s63, solving the model by using the calculation model for optimizing the well completion parameters of the horizontal well adaptive flow control water section, and performing parameter calculation by using the highest oil well ultimate recovery rate as a parameter optimization basis to obtain the final well adaptive water screen pipe well completion parameters of the horizontal well.
7. The horizontal well adaptive flow control water section completion method according to claim 6, wherein in the step S61, the logging interpretation data comprise a drilling well trajectory, a well diameter, a permeability distribution, an oil saturation, a natural gamma logging curve, a natural potential logging curve and an electrical logging interpretation result.
8. The horizontal well adaptive flow control water interval completion method according to claim 6, wherein in the step S62, the production allocation of each flow unit is determined by combining the production of an adjacent well, the reasonable production pressure difference and the reasonable production allocation of a single well.
9. The horizontal well adaptive flow control water segment completion method according to claim 6, wherein the step S63 specifically comprises: the method comprises the steps of applying a calculation model for optimizing the well completion parameters of the horizontal well adaptive flow control water section, reasonably configuring the number of the horizontal section sectional sections, the setting position of a packer, the number and the types of the adaptive flow control water devices in each horizontal well according to drilling data, oil reservoir physical properties, oil well production allocation and the like of the horizontal well, combining oil reservoir parameters in different production time, different yield and different adaptive flow control water sieve tube configuration schemes, and obtaining the well completion parameters of the flow control water sieve tube with uniform production fluid profiles according to the maximum recovery ratio of the whole oil well life cycle, thereby optimizing the well completion parameters of the horizontal well adaptive flow control water sieve tube.
10. The horizontal well adaptive flow control water interval completion method according to claim 9, wherein the reservoir parameters comprise: the change condition of the bottom water of the oil reservoir, the oil saturation of the oil reservoir, the water saturation of the oil reservoir, the porosity and permeability of the oil reservoir, the relative permeability of oil and water and the boundary of the oil reservoir.
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