Underwater oil storage is a new offshore oil drilling technique developed in recent years. Because of the high pour point, crude oil condensation will affect its storage and transportation. In order to solve this problem, a set of thermal insulation control system for underwater oil storage was designed in this paper. Flexible isolation cloth with low thermal conductivity and insulation coatings on the inwall of oil tanks are applied to reduce temperature loss, while mamdani fuzzy controller was used to control the heating of hot water and to solve nonlinear and large time delay and inertia of the object so as to maintain the stable oil temperature.

Aiming at rubber sulfuration of nonlinear, delay and complexity, a Fuzzy/PID compound control algorithm is proposed. The algorithm combined fuzzy inference system and PID algorithm, it has solved well the problem which is difficult to establish a precise mathematical model because of the uncertainties and complexities of rubber sulfuration. The simulation results indicate that the control algorithm is viable and effective.

As overland oil exploration develops into the intermediate and advanced stage, more and more offshore oilfields have been exploited. However, due to various kinds of unknown factors on the sea, related operations are faced with enormous challenges. In view of the specific operating conditions, an underwater oil storage system with a storage liner was designed. Meanwhile, the leakage of oil was detected through an oil spill transducer based on optical fiber technology with in-time alarm. Moreover, detection signal was denoised using a threshold method base on wavelet transform. The results showed that the denoising method is simple to use, convenient and can effectively remove the noise.