Abstract:

Stratified waterflooding is the main technology for oilfield development. Continuously improving waterflooding control and utilization through fine waterflooding is a never-ending pursuit. Reinjecting the produced liquid into the formation after electrical dehydration is the main technical means for the waterflooding development of oilfields. Whether the suspended particle in the reinjection water meets the standards will directly affect the waterflooding development effect. This paper proposes and develops an on-line suspended particle detector and its inversion algorithm. In order to meet the downhole detection requirements of subsurface suspended particles in reinjection water, a laser on-line detector for suspended particle was developed based on the light scattering method, and an array structured light-induced ring detector was designed to realize the identification of scattered light. In order to meet the engineering requirements of on-line inspection, the genetic algorithm and least-squares algorithm are used to optimize the granularity inversion calculation. The detection error and response time of these algorithms are compared and analyzed. With an error below the allowed value of 4% and a response time of 0.22s, the least square algorithm has more engineering application value. In order to prevent the occurrence of negative numbers after iteration of the least squares algorithm, a non-negative least square granularity inversion algorithm was designed in the practical engineering application. Based on the actual engineering data and the simulation structure, it can be concluded that the simulation values are highly consistent with the theoretical values, which proves that the laser suspended particle on-line detector and its inversion algorithm are applicable to the on-line detection system of suspended particles in the reinjection water of oilfields.