Research On Production Prediction Method Of Well Logging Of Block A In South China Sea Based On The Theory Of Fluid Flow And Node Analysis

The capacity prediction has essential significance for the development and production of oil and gas.The prediction of production capacity can be divided into natural capacity(Original capacity)prediction and theoretical coordinated production capacity prediction.The former indicates the production of reservoirs flowing into the bottom of the well,which directly reflects the ability of oil supply of the reservoir and is the key to the prediction.With the continuous improvement and development of the theory of fluid,the formula derived based on this theory has become an important reference for capacity prediction.This kind of formula comprehensively considers the influence of reservoir and various parameters in the pipeline on oil and gas flow,and can effectively evaluate the oil and gas flow state and capacity.At the same time,in order to understand the actual production capacity of oil and gas to a certain extent,we cannot simply analyze the production system as a whole,which needs Node analysis to establish the nodes and divide the system.Therefore,in this paper,collects the logging data and test oil data of Block A in the South China Sea,establishes the parameter evaluation model,and combines the theory of fluid and the node analysis method to study and analyze the capacity prediction method in this region.(1)In order to study better about the natural productivity of the reservoir and the theoretically available coordinated production capacity,the node oil method is used to divide the entire oil and gas production system into inflow dynamics and outflow dynamics.Inflow dynamic model can predict the natural production capacity of the reservoir,and the outflow dynamics can be combined with the inflow dynamics to obtain theoretically coordinated production capacity.(2)When studying the inflow dynamics,the inflow state is divided into oil single-phase flow,gas single-phase flow,oil-gas two-phase flow and the conbine of singel-two phase flow according to the properties of formation fluid,and study the corresponding inflow dynamic model based on this classification criteria.According to the test oil data,a variety of methods were used to establish the inflow dynamic model and natural productivity prediction,and the improvement of the original method and the screening of high-precision models were completed in the research process.When there has an abnormal situation in the reservoir,we will provide an corresponding improvement methods and correction ideas,Then,Softwareization of the dynamic inflow model is implemented by programming.through the methods above,getting a good prediction of nature capacity and the curve of inflow dynamics(inflowperformance relationship).(3)When studying the outflow dynamics,combined the model of Orkiszewski and Beggs & Brill with the corresponding theory of outflow dynamic,the outflow model is established,and the relevant software is obtained through programming.It can provide the theoretical outflow dynamic curve(outflow performance relationship),and the theoretically coordinated production capacity will obtained through conbining OPR with IPR.(4)Parameter calculation is the premise and basis of capacity prediction.Through logging data and physical property data,a prediction model for the parameters related to capacity prediction is established,including effective permeability,crude oil viscosity,skin factor,oil supply radius,and crude oil volume coefficient.And the effective thickness of the oil layer.(5)Sensitivity analysis of each parameter,observe the morphology of inflow curve to study the specific impact of each parameter on natural productivity.Through the research in this paper,a parameter evaluation method and a complete capacity prediction model for the Block A in South China Sea are provided,and obtain a great application.