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      產品展廳>>項目研發>>2020年試油公司光纖測試數據處理及解釋技術研究

      隨著勘探開發的不斷深入,水平井動態評價監測、水平井重復壓裂方案決策、注采剖面監測提出了迫切需求,常規生產剖面測井手段無法滿足該類井的生產需求,利用連續油管復合光纜測試技術,通過底帶直讀式CCL三參數儀可實現井筒內精準定位,通過光纖測試技術實現全井筒分段同時監測。光纖測試數據的處理解釋受井筒流態、地層信息等參數的影響往往存在多解性,部分井測試解釋結果與實際產量相關度低。需結合井筒流態、井筒-地層熱流耦合、產層熱傳導、熱對流等因素,開展光纜測試數據處理及解釋方法研究,建立合適處理解釋模型,有效評價水平井產出(注入)情況。

      本項目研究包括海量數據的處理及圖形繪制、井筒中的流體復雜流動、地層中產層中的熱傳導和非產層中熱傳導及熱對流、井筒與地層中的熱流耦合、和聲波資料解釋方法和光纖測試數據的綜合評價方法,具體技術方法有:

      繪制海量數據處理及圖形

      通過CADOProvider實現對海量深度溫度數據的高效讀取,形成不同時間下不同深度的溫度分布云圖以及三維分布動態圖,可以進行溫度變化及溫度斷面分布曲線的多尺度觀測。

      確定井筒熱流耦合模型的建立及初始條件和邊界條件

      從各類數據文件導入井筒及流體的基礎數據,考慮井筒內流體的速度、流態、物性的不同對流體的傳熱影響,建立不同管流流態的熱流耦合模型。以穩態條件下連續性方程、動量方程、和能量方程求解作為初始條件,以井口處的速度分布為邊界條件。

      建立井筒與地層之間熱流耦合

      建立井筒與地層間的熱交換模型

      建立井筒與地層間的流體的狀態方程

      確定流體力學與熱力學物性狀態

      確定井筒內與地層流體的粘度等物性參數以及比熱容、導熱系數等熱力學參數

      確定產層與非產層地層區域的地層參數

      確定產層與非產層地層區域的導熱系數、比熱容等熱力學參數

      建立井筒流動和地層滲流中的溫度壓力耦合模型求解方法

      采用數值模擬方法求解井筒和地層中的溫度壓力耦合方程,數值模擬涉及到網格劃分、方程離散、大型稀疏矩陣求解。網格方面,井筒內采用一維網格,地層中采用軸對稱二維網格。方程離散方面溫度和壓力都采用有限體積離散。大型稀疏矩陣采用廣義最小殘量法(GMRES方法)進行求解。

      探索分布式聲波數據解釋方法

      采用組件化技術方法對光纖測試數據處理及解釋軟件進行開發

      由于國內至今還沒有光纖測試數據處理及解釋軟件,國外僅僅提供解釋服務,并無任何針對適用于石油天然氣的光纖測試溫度反演類的軟件出售,無任何技術可借鑒。本項目從海量數據處理,井筒-地層熱流固耦合模型求解、地層參數反演等方面開發具有獨立知識產權的光纖測試數據及解釋軟件,具有很強的領先優勢。

      Products>>Project Development>>Research on optical fiber test data processing and interpretation technology of oil testing company in 2020

      With the continuous deepening of exploration and development, there is an urgent need for dynamic evaluation and monitoring of horizontal wells, decision-making of refracturing scheme of horizontal wells, and monitoring of injection production profile. Conventional production profile logging methods can not meet the production needs of such wells. Using coiled tubing composite optical cable testing technology, accurate positioning in the wellbore can be achieved through bottom zone direct reading CCL three parameters instrument, and optical fiber testing technology can be used to monitor the whole wellbore simultaneously. The processing and interpretation of optical fiber test data are often influenced by wellbore flow pattern, formation information and other parameters, and the correlation between test interpretation results of some wells and actual production is low. It is necessary to study the data processing and interpretation method of optical cable test in combination with wellbore flow pattern, wellbore formation heat flow coupling, production layer heat conduction, heat convection and other factors, establish appropriate processing and interpretation model, and effectively evaluate the production (injection) of horizontal wells.

      This project includes massive data processing and graphics drawing, complex fluid flow in wellbore, heat conduction in formation and non production layer, heat flow coupling between wellbore and formation, acoustic data interpretation method and comprehensive evaluation method of optical fiber test data.

      Drawing massive data processing and graphics.

      By using CADOProvider, we can efficiently read the massive depth temperature data, and form the temperature distribution cloud images and three-dimensional dynamic distribution maps of different depths at different times, which can be used for multi-scale observation of temperature change and temperature cross-section distribution curve.

      The establishment of wellbore heat flow coupling model and the initial and boundary conditions are determined.

      The basic data of wellbore and fluid are imported from various data files. Considering the influence of different velocity, flow pattern and physical property of fluid in wellbore on the heat transfer of fluid, the heat flow coupling model of different pipe flow pattern is established. The solution of continuity equation, momentum equation and energy equation in steady state is taken as the initial condition, and the velocity distribution at the wellhead is taken as the boundary condition.

      Heat flow coupling between wellbore and formation is established

      The heat exchange model between wellbore and formation is established, and the equation of state of fluid between wellbore and formation is established.

      The physical properties of fluid mechanics and thermodynamics are determined.

      Determine the viscosity and other physical parameters of wellbore and formation fluid, as well as the specific heat capacity, thermal conductivity and other thermodynamic parameters; determine the formation parameters of pay formation and non pay formation area; determine the thermal conductivity, specific heat capacity and other thermodynamic parameters of pay formation and non pay formation area.

      The solution method of temperature pressure coupling model in wellbore flow and formation seepage is established.

      Numerical simulation method is used to solve the temperature and pressure coupling equations in wellbore and formation. Numerical simulation involves mesh generation, equation discretization and large sparse matrix solution. In terms of grid, one-dimensional grid is used in the wellbore and axisymmetric two-dimensional grid is used in the formation. The temperature and pressure are discretized by finite volume. The large sparse matrix is solved by GMRES method.

      The distributed acoustic data interpretation method is explored

      The data processing and interpretation software of optical fiber test is developed by using component technology.

      Since there is no optical fiber test data processing and interpretation software in China, foreign countries only provide interpretation services, and there is no software for optical fiber test temperature inversion applicable to oil and gas, and there is no technology to learn from. This project develops optical fiber test data and interpretation software with independent intellectual property rights from massive data processing, wellbore formation thermal fluid solid coupling model solving, formation parameter inversion and other aspects, which has a strong leading advantage.

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