Deep Learning for Sand Production Analysis and Optimum Workflow in the Greater Burgan Field

Hamad Al-Rashidi, Abdul-Aziz Safar, Baraa Al-Shammari, Nitin L. Rane, Batoul Muhsain, T. Al-Mutairi, Bader S. Al-Mal, N. Al-Kandari, Dalal Mohammad, Bruce Duncan, Hanan F. Al-Saeed, S. Desai, Mariam Kamal
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Abstract

Meeting 2040 KPC Strategic plan objectives and KOC production targets will require adoption of new cost-effective technologies and methods in Kuwait fields, resulting in incremental oil production and extended life of the fields. Long-term oil production through artificial lift application can lead to pressure depletion and water cut incremental in mature fields, which can cause obvious wellbore impairments, particularly in medium to week formations such as Wara and Upper Burgan formations. One of the critical parameters that will have great influence on maturing this strategy is sand management-field development. Recently some of high producing wells perforated in Wara sandstone Formation in the Greater Burgan field in Kuwait have been plugged due to sand production issues. Understanding the causes of this critical challenge will definitely help KOC in finding the optimum sand management work flow and select the right sand control technologies to maximize the oil production in Wara formation. Several sand characterization tests were conducted on core plugs and produced samples collected downhole, ESP wellbore data was linked with well logs analysis and production data for understanding the sand production phenomena within the intervals and help establish a sand collapse model. Based on the lab work, modeling and ESP real time data, a screening benchmark was developed for sand management and control for Wara formation. The unique customized screening criteria will support South East Kuwait (SEK) field development to identify/avoid the potential sanding intervals and sustain oil production at safe drawdown pressure, which definitely will prevent ESP failures and extend the ESP lifetime. The risk assessment for potential sanding intervals has been established to predict sand production in most new Wara wells. Some Wara wells targeting shallower or weaker sands would normally be sand control candidates, by taking into account the completion design, optimizing surface sand management workflow, managing safe drawdown and BHFP levels, and taking advantage of favorable stress vectors through oriented perforation can encompass the sand free well operating envelopes over life of well production and depletion conditions.
基于深度学习的大布尔干油田出砂分析与优化工作流程
为了实现科威特石油公司2040年战略计划目标和科威特石油公司的生产目标,科威特石油公司需要在科威特油田采用新的具有成本效益的技术和方法,从而增加石油产量,延长油田寿命。通过人工举升进行长期采油可能会导致成熟油田的压力枯竭和含水率增加,这可能会对井筒造成明显的损害,特别是在Wara和Upper Burgan地层等中周地层中。对该策略的成熟有重大影响的关键参数之一是油田的防砂开发。最近,由于出砂问题,科威特Greater Burgan油田Wara砂岩地层的一些高产井被堵塞。了解这一关键挑战的原因,将有助于KOC找到最佳的防砂工作流程,并选择合适的防砂技术,以最大限度地提高Wara地层的石油产量。在岩心桥塞和井下采出样品上进行了多次出砂特性测试,将ESP井筒数据与测井分析和生产数据联系起来,以了解层段内的出砂现象,并帮助建立出砂模型。基于实验室工作、建模和电潜泵实时数据,开发了Wara地层防砂的筛选基准。独特的定制筛选标准将支持科威特东南部(SEK)油田的开发,以识别/避免潜在的出砂层,并在安全降压下维持石油生产,这绝对可以防止ESP故障并延长ESP使用寿命。已经建立了潜在出砂层的风险评估,以预测Wara大多数新井的出砂情况。一些针对较浅或较弱砂层的Wara井通常是防砂的候选井,通过考虑完井设计,优化地面防砂管理工作流程,管理安全降和BHFP水平,并利用定向射孔的有利应力矢量,可以在油井生产和枯竭的整个生命周期内包括无砂井的操作包层。
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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