Oil-gas distribution prediction method based on relative resistivity stochastic simulation inversion

• Main Authors: JIN NINGNING, WANG DONGHUI, GUI PINGJUN, LI CONG, QIN XUEFEI, CAO SHAOHE
• Format: Patent
• Language: Chinese; English
• Published: 27.07.2016
• Subjects: EARTH DRILLING; EARTH DRILLING, e.g. DEEP DRILLING; FIXED CONSTRUCTIONS; MINING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS

The invention relates to an oil-gas distribution prediction method based on relative resistivity stochastic simulation inversion and belongs to the technical field of reservoir prediction. The oil-gas distribution prediction method comprises the steps that firstly, a curve which is high in lithology identification capacity is selected, a lithology indication curve is rebuilt, and a lithology model is established; secondly, a curve which is high in reservoir identification capacity is selected, a reservoir indication curve is rebuilt, and a reservoir model is established; and finally, the resistivity standard of fluid in a reservoir is analyzed and determined, through a mode of expanding the resistivity value difference of different types of fluid, a relative resistivity curve with high sensitivity to the fluid in the reservoir is formed, and on the basis, the purpose of improving the prediction accuracy of the fluid in the reservoir is achieved by using a stochastic simulation inversion method through constra