CN-122014176-A - Intelligent separate production well selection method based on interlaminar interference dynamic characterization

CN122014176ACN 122014176 ACN122014176 ACN 122014176ACN-122014176-A

Abstract

The invention discloses an intelligent separate production well selecting method based on interlayer interference dynamic characterization, which comprises the following steps of S1, obtaining static parameters and dynamic parameters of a target multi-layer combined production well, S2, constructing a reservoir converging section pressure drop model and a shaft flow section pressure drop model, coupling the reservoir converging section pressure drop and the shaft flow section pressure drop to obtain a shaft flow section pressure calculation formula, S3, constructing an oil reservoir seepage model, S4, carrying out liquid production history fitting based on the shaft flow section pressure calculation formula and the oil reservoir seepage model to obtain fitting stratum parameters reflecting current production dynamics, S5, calculating interlayer interference coefficients, S6, setting a grading standard for carrying out interference grading on an oil well based on the interference coefficients, calculating an average interference coefficient in a target time period of the oil well, judging the interference grade of the oil well by combining the grading standard, and finally screening out a strong interference well needing to carry out intelligent separate production. The method remarkably improves the objectivity and accuracy of well selection of the intelligent separate production wells, and has strong applicability.

Inventors

ZHAO YULONG
XIONG WEI
Shang Xiting
LIU XIANGYU
SHEN BIAO
YANG ZHIDONG
WANG YONG
ZHANG LIEHUI
TANG HUIYING
ZHANG TAO

Assignees

西南石油大学

Dates

Publication Date: 20260512
Application Date: 20260402

Claims (10)

1. An intelligent separate production well selecting method based on interlayer interference dynamic characterization is characterized by comprising the following steps: S1, acquiring static parameters and dynamic parameters of a target multi-layer joint production well; s2, constructing a reservoir afflux section pressure drop model and a shaft flow section pressure drop model, and coupling the reservoir afflux section pressure drop and the shaft flow section pressure drop to obtain a shaft flow section pressure calculation formula; s3, constructing an oil reservoir seepage model for describing the relation between the pressure of each production layer and the yield; S4, performing liquid production history fitting based on the wellbore flow section pressure calculation formula obtained in the step S2 and the oil reservoir seepage model constructed in the step S3, and obtaining fitting stratum parameters reflecting current production dynamics; S5, calculating an interlayer interference coefficient The calculation formula is as follows: Wherein, the Is the interference coefficient of the oil well, and is dimensionless; The theoretical total yield of the oil well when the oil well is not disturbed is m 3 /d; The actual total yield of the oil well when being disturbed is m 3 /d; S6, setting based on interference coefficient Calculating average interference coefficient in the target time period of the oil well, judging the interference level of the oil well according to the average interference coefficient and the grading standard, and finally screening out strong interference wells needing to be subjected to intelligent separation and extraction preferentially according to the interference level condition of the oil well.
2. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 1, wherein the static parameters comprise a first Fluid density of layer, first Permeability of layer(s) Reservoir thickness of layer, first Fluid viscosity, run-off radius and first of layers The dynamic parameters include actual total oil well production, the first Bottom hole flow pressure and first of layers Pumping pressure of the layer; the layers are numbered.
3. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 2, wherein, The reservoir sink section pressure drop model is as follows: Wherein, the Is the first Reservoir of the layer is imported into the wellbore for pressure drop, MPa; is the first The downstream pressure of the layer, MPa; is the first Upstream pressure of the layer, MPa; is the first Reservoir thickness of layer, m; is the first The fluid density of the layer, kg/m 3 ; is the first Column cross-sectional area of layers, m 2 ; is the first Reservoir sink flow of the layer, m 3 /s; is the first Downstream fluid velocity of the layer, m/s.
4. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 3, wherein the wellbore flow section pressure drop model is as follows: In the formula, Is the first Wellbore flow section pressure drop of the layer, MPa; is the first Gravity pressure drop of a shaft flow section of the layer, and MPa; is the first Friction pressure drop in the wellbore flow section of the layer, MPa; is the first The wellbore flow section of the layer accelerates the pressure drop, MPa.
5. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 4, wherein, The wellbore flow section pressure is calculated as follows: Wherein, the Is the first Bottom hole flow pressure of the layer, MPa; is the pumping pressure, MPa.
6. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 1, wherein, The reservoir seepage model is as follows: In the formula, Is the first Formation pressure of the layer, MPa; is the first Fluid viscosity of the layer, mpa·s; is the first Permeability of the layer, mD; is the first Actual well production of the layer, m 3 /d; is the first The potential distribution of the layer is dimensionless; is the discharge radius, m; Is the reservoir thickness, m, of the ith layer.
7. The intelligent separate production well selection method based on the inter-layer interference dynamic characterization according to claim 1, wherein in step S4, the obtained fitted formation parameters reflecting the current production dynamics include the fitted formation pressure and the fitted permeability of each layer.
8. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 7, wherein in step S5, theoretical total yield of the oil well when not interfered The calculation method of (2) is as follows: Will be the first Fluid viscosity of layer, first Reservoir thickness of layer, drainage radius, the first obtained in step S4 Fitting formation pressure and first of layers And (3) substituting the fitted permeability and the minimum bottom hole flow pressure of the layers into the oil reservoir seepage model constructed in the step (S3) to carry out iterative solution, calculating to obtain the theoretical yield of each layer without interference, and summing the theoretical yields of each layer without interference to obtain the theoretical total yield of the oil well without interference 。
9. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 7, wherein in step S5, the actual total production when the oil well is interfered The calculation method of (2) is as follows: Will be the first Fluid viscosity of layer, first Reservoir thickness of layer, drainage radius, the first obtained in step S4 Fitting formation pressure and first of layers And (3) substituting the fitted permeability of the layers and the bottom hole flow pressure in actual production into the oil reservoir seepage model constructed in the step (S3) to perform iterative solution, calculating to obtain the actual yield of each layer when being interfered, and summing the actual yields of each layer when being interfered to obtain the actual total yield of the oil well when being interfered 。
10. The intelligent separate production well selection method based on interlayer interference dynamic characterization according to claim 1, wherein in step S6, the method is based on interference coefficients The grading standard for carrying out interference grading on the oil well is as follows: When the productivity loss rate is lower than 20%, the corresponding preset interference coefficient <0.2, Belonging to weak interference wells; when the productivity loss rate is 20% -40%, the corresponding preset interference coefficient is 0.2 +. Less than or equal to 0.4, belonging to medium interference wells; when the productivity loss rate is higher than 40%, the corresponding preset interference coefficient And >0.4, belonging to a strong interference well.

Description

Intelligent separate production well selection method based on interlaminar interference dynamic characterization Technical Field The invention relates to the technical field of oil and gas field development, in particular to an intelligent separate production well selection method based on interlayer interference dynamic characterization. Background In the intelligent separate production development process of the multi-layer oil well, scientific screening of potential wells with control valves required to be installed has important significance in optimizing investment decisions, improving development efficiency and reducing interlayer interference. The inter-layer interference dynamic characterization refers to the phenomenon that the whole well productivity is lower than the sum of independent productivity of each layer due to the physical property difference and production pressure difference competition of each production layer in the multi-layer combined production process. The effect not only causes yield loss, but also accelerates water channeling of the high-permeability layer, inhibits the use of the low-permeability layer, and seriously influences the balanced development and final recovery ratio of the oil reservoir. Therefore, dynamic characterization of the inter-layer interference degree becomes a key basis for intelligent separate production well selection. Currently, well selection methods for intelligent separate production wells mainly comprise an empirical judgment method, a static parameter comparison method and a capacity simulation method based on simple superposition. The experience judging method mainly relies on engineers to know the geological features of the block and the past development experience to carry out subjective judgment. The static parameter comparison method is used for qualitatively evaluating the interference possibility by comparing the difference degree of geological parameters of each layer. And (3) comparing the sum of the productivity arithmetic of each layer with the actual yield based on a simple superposition productivity simulation rule, and roughly estimating the interlayer interference degree. Although the methods can be used for preliminary screening to a certain extent, due to lack of deep characterization of a dynamic coupling mechanism between reservoir seepage and wellbore flow, real-time quantitative judgment of interference intensity cannot be realized. Therefore, the existing methods have the problem that dynamic continuous quantitative characterization of the interlayer interference degree is difficult, which results in insufficient well selection basis and strong subjectivity, and affects the implementation effect and economy of separate production measures. Disclosure of Invention Aiming at the technical problems that the prior method lacks dynamic continuous quantitative characterization on the interlaminar interference intensity in the process of selecting the multi-layer combined well, which results in insufficient well selection basis and strong subjectivity and directly influences the implementation effect and economy of separate production measures, the invention provides an intelligent separate production well selecting method based on interlaminar interference dynamic characterization. The method realizes quantitative evaluation and classification of interference intensity, improves scientificity and accuracy of well selection, and provides reliable basis for accurate application and popularization of intelligent separate mining technology. The intelligent separate production well selection method based on the interlaminar interference dynamic characterization comprises the steps of obtaining a shaft flow section pressure calculation formula by establishing a coupling pressure drop model of a reservoir inflow section and a shaft flow section, establishing an oil reservoir seepage model, carrying out liquid production history fitting based on the shaft flow section pressure calculation formula and the oil reservoir seepage model to obtain fitting stratum parameters reflecting the current production state, defining and calculating a quantization index-interference coefficient representing interlaminar interference intensity based on a fitting result to realize quantitative characterization of interference intensity, and finally scientifically screening a strong interference well needing to be subjected to intelligent separate production according to the numerical range of the interference coefficient. The method comprises the following steps: S1, acquiring static parameters and dynamic parameters of a target multi-layer joint production well. S2, constructing a reservoir afflux section pressure drop model and a shaft flow section pressure drop model, and coupling the reservoir afflux section pressure drop and the shaft flow section pressure drop to obtain a shaft flow section pressure calculation formula. And S3, constructing an oil res