Halite Precipitation in Brine Reservoirs: Prediction and Control by Numerical Model, Optimization of the Fresh Water Treatments and Well Production Regimes

Aleksei Dmitrievitch Andryushchenko
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Abstract

The aim of the work is to optimize the fresh water treatment design, frequency and production regimes (maximize NPV of the well operation) for wells with high NaCl content formation water (brines) production, which are very common for the Eastern Siberia, and forecast productivity index (PI) decline rates and production profiles for the wells by means of halite deposition model for brine flow in porous media united with fresh water treatment model and economic model. New numerical halite deposition model for brine flow in porous media is developed based on Darcy's law and equation of halite precipitation dynamics from formation water taking into account the fresh water treatments, solubility of descipitated halite in the fresh water and permeability profile. It enables to predict deposited halite saturation (Shalite), dynamic porosity and permeability radially and versus time. Thus, we can forecast PI versustime and unite production and economic models,vary fresh water treatment design, frequency andproduction regimes for the given geological conditions and to determine treatment design, frequency and production regimes that brings the maximum NPV.PI decline rates and exploitation factor are calculated and analyzed for different scenarios of the fresh water treatment design, frequency and production regimes. These main conclusions are made from the results of the work:
盐水储层中盐石降水:数值模型预测与控制、淡水处理和油井生产制度优化
这项工作的目的是优化高NaCl含量地层水(盐水)产量井的淡水处理设计、频率和生产制度(最大化井作业的净现值),这在东西伯利亚地区很常见,并通过孔隙介质中盐水流动的岩盐沉积模型,结合淡水处理模型和经济模型,预测井的生产力指数(PI)下降率和产量曲线。基于达西定律和地层水岩盐沉淀动力学方程,考虑淡水处理、沉淀岩盐在淡水中的溶解度和渗透率剖面,建立了多孔介质中盐水流动的岩盐沉积数值模型。它可以预测沉积的岩盐饱和度(Shalite)、动态孔隙度和渗透率。因此,我们可以预测PI随时间的变化,统一生产和经济模型,根据给定的地质条件改变淡水处理设计、频率和生产制度,并确定能带来最大净现值的处理设计、频率和生产制度。计算和分析了不同淡水处理设计、频率和生产制度下的PI下降率和开采系数。根据研究结果得出以下主要结论:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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