低渗透油藏天然气驱提高采收率数值模拟研究

针对低渗透油藏的地质及开发特点,在PVT实验和相态拟合的基础上,应用数值模拟技术研究了天然气驱开发方式对开发效果的影响。研究结果表明,注天然气可以较大幅度的提高低渗透油藏的采收率;气水交替驱是最佳的开发方式,并且水驱后气水交替驱的效果比投产初期就采用气水交替驱效果更好。     

A theoretical framework for quantum image representation and data loading scheme

Two fundamental problems exist in the use of quantum computation to process an image or signal.The first one is how to represent giant data,such as image data,using quantum state without losing information.The second one is how to load a colossal volume of data into the quantum registers of a quantum CPU from classical electronic memory.Researches on these two questions are rarely reported.Here an entangled state is used to represent an image(or vector)for which two entangled registers are used to store a vector component and its classical address.Using the representation,n1+n2+8 qubits are used to store the whole information of the gray image that has a 2n1×2n2 size at a superposition of states,a feat is not possible with a classic computer.The way of designing a unitary operation to load data,such as a vector(or image),into the quantum registers of a quantum CPU from electronic memory is defined herein as a quantum loading scheme(QLS).In this paper,the QLS with time complexity O(log2N)is presented where N denotes the number of vector components,a solution that would break through the efciency bottleneck of loading data.QLS would enable a quantum CPU to be compatible with electronic memory and make possible quantum image compression and quantum signal processing that has classical input and output.