CN-122021373-A - Shale gas well oil pipe deep optimization method, system, storage medium and equipment

CN122021373ACN 122021373 ACN122021373 ACN 122021373ACN-122021373-A

Abstract

The invention belongs to the technical field of oil gas development, and more particularly to shale gas well oil well downhole optimization methods, systems, storage media, and apparatus, the methods comprising: collecting basic data of shale gas wells; the method comprises the steps of utilizing a steady-state model to evaluate pressure drop loss, liquid carrying capacity and daily gas production of different oil pipe deep positions to determine an oil pipe deep scheme, dividing production stages of a shale gas well, formulating an optimization strategy, establishing a shale gas well shaft multiphase flow dynamic model based on basic data, verifying accuracy, simulating working conditions of different oil pipe deep positions by utilizing the multiphase flow dynamic model, adjusting the oil pipe deep positions, recording simulation results, establishing a multi-objective optimization model based on the multiphase flow dynamic model simulation results and the optimization strategy, optimizing the oil pipe deep scheme to obtain a Pareto optimal solution, and determining an optimal oil pipe deep scheme. The invention can effectively cope with the complex production environment of the shale gas well, and provides scientific basis and technical support for improving the economic benefit of shale gas development.

Inventors

DU ANQI
XIANG JIANHUA
SUN FENGJING
ZHANG TING

Assignees

中国石油天然气股份有限公司

Dates

Publication Date: 20260512
Application Date: 20241111

Claims (10)

1. The shale gas well oil pipe subsurface optimization method is characterized by comprising the following steps of: Collecting basic data of a shale gas well, wherein the basic data comprise stratum data, shaft parameter data, fluid composition data, production data, pressure drop test data and yield test data; evaluating pressure drop loss, liquid carrying capacity and daily gas production of different oil pipe deep positions by using a steady-state model, and determining an oil pipe deep scheme; Dividing the production stage of a shale gas well and formulating an optimization strategy; based on the basic data, establishing a shale gas well shaft multiphase flow dynamic model, and verifying accuracy; Simulating working conditions of different oil pipes by utilizing the multiphase flow dynamic model, adjusting the oil pipe deep position and recording simulation results; and based on the multiphase flow dynamic model simulation result and the optimization strategy, establishing a multi-objective optimization model, optimizing the oil pipe depth scheme to obtain a Pareto optimal solution, and determining an optimal oil pipe depth scheme.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises, And applying the optimal oil pipe deep scheme to actual shale gas horizontal well operation, and verifying the optimization effect through field test.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises, The method for determining the oil pipe deep down scheme comprises the following steps of evaluating pressure drop loss, liquid carrying capacity and daily gas production of different oil pipe deep down positions by using a steady-state model, and specifically comprises the following steps: Estimating pressure drop loss of deep positions under different oil pipes by using a pressure drop calculation model, and estimating energy consumption; calculating critical liquid carrying speed by using a Turner model, and evaluating the stability of the well bore flow; Estimating daily gas production at deep positions of different oil pipes by using a linear regression model based on the production data; and confirming the oil pipe deep scheme according to the pressure drop loss, the liquid carrying capacity and the daily gas production.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises, The method for dividing the production stage of the shale gas well and making the optimization strategy specifically comprises the following steps: the initial high yield stage maximizes the yield and reasonably regulates the pressure loss; a mid-stage decreasing stage, balancing yield and energy consumption, reducing pressure drop and preventing the influence of effusion; and in the later low-yield stage, the risk of effusion is reduced, the flow stability is ensured, and the residual yield is maintained.
5. The method of claim 1, wherein the step of determining the position of the substrate comprises, Based on the basic data, establishing a shale gas well shaft multiphase flow dynamic model, and verifying accuracy, wherein the method specifically comprises the following steps of: Generating a fluid package imported into the OLGA software by utilizing Multiflash software according to the fluid composition data; acquiring inflow dynamic data of a shaft according to the pressure drop test data and the yield test data, and determining inflow characteristics of the shale gas well by drawing inflow dynamic curves of bottom hole flow pressure and yield; According to the wellbore parameter data, production data, fluid composition data and inflow characteristics of the shale gas well, establishing a shale gas well wellbore multiphase flow dynamic model in the OLGA software; and testing and verifying the multiphase flow dynamic model by utilizing the basic data and the field test data.
6. The method of claim 1, wherein the step of determining the position of the substrate comprises, And testing and verifying the multiphase flow dynamic model by utilizing the basic data and the field test data, wherein the method specifically comprises the following steps of: Based on the multiphase flow dynamic model test result, calculating the relative error of daily gas production and actual production data; and judging the reliability of the simulation result of the OLGA model according to the relative error.
7. The method of claim 1, wherein the step of determining the position of the substrate comprises, The multi-objective optimization model is established based on the multiphase flow dynamic model simulation result and the optimization strategy, the oil pipe depth scheme is optimized to obtain a Pareto optimal solution, and the optimal oil pipe depth scheme is determined, and the method specifically comprises the following steps: determining an optimization target, wherein the optimization target is determined to maximize yield, minimize energy loss and optimize flow state based on the multiphase flow dynamic model simulation result; establishing a multi-objective optimization model, and defining an objective function based on the multiphase flow dynamic model simulation result and the optimization strategy; Optimizing an oil pipe depth scheme, and optimizing the oil pipe depth scheme by using the multi-objective optimization model to obtain a group of Pareto optimal solutions; and analyzing the deep scheme of each oil pipe at the Pareto front by combining historical production data and expert experience, determining key factors influencing yield and energy loss by using a machine learning algorithm, and determining the optimal deep scheme of the oil pipe according to the production priority.
8. Shale gas well oil pipe deep optimization system, characterized in that the system comprises: The data collection module is used for collecting basic data of the shale gas well; The oil pipe deep-down scheme confirming module is used for evaluating pressure drop loss, liquid carrying capacity and daily gas production of different oil pipe deep-down positions by utilizing a steady-state model and determining an oil pipe deep-down scheme; The production stage dividing module is used for dividing the production stage of the shale gas well and formulating an optimization strategy; the multiphase flow dynamic model establishing and verifying module is used for establishing a shale gas well shaft multiphase flow dynamic model based on the basic data and verifying accuracy; the multiphase flow dynamic simulation module is used for simulating working conditions of different oil pipe depths by utilizing the multiphase flow dynamic model, adjusting the oil pipe depth positions and recording simulation results; And the optimal oil pipe depth scheme determining module is used for establishing a multi-objective optimization model based on the multiphase flow dynamic model simulation result and the optimization strategy, optimizing the oil pipe depth scheme to obtain a Pareto optimal solution, and determining the optimal oil pipe depth scheme.
9. A computer-readable storage medium comprising, Program or instructions stored which, when run on a computer, cause the computer to perform the shale gas well underway optimization method of any of claims 1-7.
10. An apparatus, characterized in that, Comprising a processor coupled to a memory; The processor is configured to read and execute a computer program stored in the memory to implement the shale gas well downhole optimization method of any of claims 1-7.

Description

Shale gas well oil pipe deep optimization method, system, storage medium and equipment Technical Field The invention belongs to the technical field of oil gas development, in particular to a shale gas well oil pipe down-hole deep optimization method systems, storage media, and devices. Background Due to low permeability of shale reservoirs, horizontal drilling and multistage hydraulic fracturing technologies are required to be adopted in commercialized development, so that the yield decreasing rule of shale gas wells is different from that of conventional gas wells. In the initial stage of shale gas well production, because the formation energy is sufficient and the flowback liquid amount is large, casing open-flow production is generally adopted to rapidly discharge fracturing liquid in a near-wellbore zone, so that the productivity of the gas well is released. But as the formation energy decays rapidly, the gas well pressure, gas production, and liquid production decrease rapidly. In addition, factors such as the long horizontal section complex well structure and the liquid carrying capacity of the large-size casing can also lead to the advance of the liquid accumulation time of the well shaft, so that the stable production of the gas well is affected. In order to solve the problems, the oil pipe is put down and the optimal parameter control is carried out, so that the method is one of key measures for delaying formation energy attenuation and guaranteeing high and stable production of the shale gas well. The oil pipe running depth is one of key parameters of oil pipe production, and directly influences the production dynamic and stability of shale gas wells. The reasonable oil pipe depth can effectively control the pressure of a shaft, reduce liquid accumulation, and prevent production problems of overlarge reservoir back pressure, low gas production efficiency and the like. Currently, there is a great deal of research on the optimal tubing depth for vertical wells, but these research results are not entirely applicable to horizontal wells. The oil pipe running depth of the horizontal well mainly depends on the guidance of an indoor gas-liquid two-phase flow experiment. In the prior art, the technical scheme for determining the depth of the oil pipe is based on an indoor experiment and static analysis, the full consideration of dynamic change under actual production conditions is lacking, the evaluation index is relatively single, and the parameter optimization of a comprehensive system is lacking, so that the optimization result has a certain limitation. Disclosure of Invention In order to solve the problems, the invention provides a shale gas well oil pipe deep optimization method, a shale gas well oil pipe deep optimization system, a shale gas well oil pipe deep optimization storage medium and shale gas well oil pipe deep optimization equipment. The invention is realized by the following scheme: A shale gas well oil pipe down-hole optimization method, the method comprising: Collecting basic data of a shale gas well, wherein the basic data comprise stratum data, shaft parameter data, fluid composition data, production data, pressure drop test data and yield test data; evaluating pressure drop loss, liquid carrying capacity and daily gas production of different oil pipe deep positions by using a steady-state model, and determining an oil pipe deep scheme; Dividing the production stage of a shale gas well and formulating an optimization strategy; based on the basic data, establishing a shale gas well shaft multiphase flow dynamic model, and verifying accuracy; Simulating working conditions of different oil pipes by utilizing the multiphase flow dynamic model, adjusting the oil pipe deep position and recording simulation results; and based on the multiphase flow dynamic model simulation result and the optimization strategy, establishing a multi-objective optimization model, optimizing the oil pipe depth scheme to obtain a Pareto optimal solution, and determining an optimal oil pipe depth scheme. Further, the optimal oil pipe deep scheme is applied to actual shale gas horizontal well operation, and the optimization effect is verified through field test. Further, the method for determining the oil pipe depth scheme by using the steady-state model to evaluate the pressure drop loss, the liquid carrying capacity and the daily gas production of different oil pipe depth positions specifically comprises the following steps: Estimating pressure drop loss of deep positions under different oil pipes by using a pressure drop calculation model, and estimating energy consumption; calculating critical liquid carrying speed by using a Turner model, and evaluating the stability of the well bore flow; Estimating daily gas production at deep positions of different oil pipes by using a linear regression model based on the production data; and confirming the oil pipe deep scheme according to the pressure drop loss, the liqui