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.