DeepAI AI Chat
Log In Sign Up

Fuzzy inference system application for oil-water flow patterns identification

by   Yuyan Wu, et al.

With the continuous development of the petroleum industry, long-distance transportation of oil and gas has been the norm. Due to gravity differentiation in horizontal wells and highly deviated wells (non-vertical wells), the water phase at the bottom of the pipeline will cause scaling and corrosion in the pipeline. Scaling and corrosion will make the transportation process difficult, and transportation costs will be considerably increased. Therefore, the study of the oil-water two-phase flow pattern is of great importance to oil production. In this paper, a fuzzy inference system is used to predict the flow pattern of the fluid, get the prediction result, and compares it with the prediction result of the BP neural network. From the comparison of the results, we found that the prediction results of the fuzzy inference system are more accurate and reliable than the prediction results of the BP neural network. At the same time, it can realize real-time monitoring and has less error control. Experimental results demonstrate that in the entire production logging process of non-vertical wells, the use of a fuzzy inference system to predict fluid flow patterns can greatly save production costs while ensuring the safe operation of production equipment.


Improved Parameter Identification Method Based on Moving Rate

To improve the problem that the parameter identification for fuzzy neura...

Deep Learning and Data Assimilation for Real-Time Production Prediction in Natural Gas Wells

The prediction of the gas production from mature gas wells, due to their...

Spatial Modeling of Oil Exploration Areas Using Neural Networks and ANFIS in GIS

Exploration of hydrocarbon resources is a highly complicated and expensi...

Embedded Design of Automatic Pesticide Spraying Robot Control System

In agriculture, crops need to apply pesticide spraying flow control prec...

Deep Model Predictive Control with Online Learning for Complex Physical Systems

The control of complex systems is of critical importance in many branche...

A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis

Mobile app development in recent years has resulted in new products and ...