需要付出大量努力来确定合适的候选者，并确保油井干预、加密钻井地点和侧线地点在技术和经济上取得成功。选择现有油井进行修井和侧钻的加速方法将具有巨大的价值。开发工作流程来自动执行数据收集和验证等任务。该解决方案允许通过一致的分析计算和机器学习技术（包括贝叶斯网络和时间序列预测模型）对生产增强机会进行综合评估。
咨询系统从数据集成和工作流程自动化步骤开始。
An intensive effort is required to identify the right candidates and to ensure the technical and economic success of well interventions, infill-drilling locations, and sidetrack locations. An accelerated method for selection of existing wells for workovers and sidetracks would be of great value. A work flow is developed to automate tasks such as data gathering and validation. The solution allows integrated assessment of production-enhancement opportunities through consistent analytic computations and machine-learning techniques including Bayesian networks and time-series forecasting models.
The advisory system starts with data integration and work-flow automation steps.
