首页> 外文会议>2005 SPE annual technical conference and exhibition (ATCE 2005) >A Rapid and Efficient Method To Identify Underperforming Stripper Gas and Oil Wells
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A Rapid and Efficient Method To Identify Underperforming Stripper Gas and Oil Wells

机译:一种快速有效的识别汽提气和油井表现不佳的方法

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Stripper gas and oil well operators frequently face a dilemmarnregarding maximizing production from low-productivityrnwells. With thousands of stripper wells in the United Statesrncovering extensive acreage, it is difficult to identify easily andrnefficiently marginal or underperforming wells. In addition,rnthe magnitude of reviewing vast amounts of data places arnstrain on an operator's work force and financial resources.rnSchlumberger DCS, in cooperation with the NationalrnEnergy Technology Laboratory (NETL) and the U.S.rnDepartment of Energy (DOE), has created software andrndeveloped in-house analysis methods to identify remediationrnpotential in stripper wells relatively easily. This software isrnreferred to as Stripper Well Analysis RemediationrnMethodology (SWARM).rnSWARM was beta-tested with data pertaining to two gasrnfields located in northwestern Pennsylvania and had notablernresults. Great Lakes Energy Partners, LLC (Great Lakes) andrnBelden & Blake Corporation (B&B) both operate wells in thernfirst field studied. They provided data for 729 wells, and wernestimated that 41 wells were candidates for remediation.rnHowever, for reasons unbeknownst to Schlumberger thesernwells were not budgeted for rework by the operators.rnThe second field (Cooperstown) is located in Crawford,rnVenango, and Warren counties, Pa and has more than 2,200rnwells operated by Great Lakes. This paper discusses in depthrnthe successful results of a candidate recognition study of thisrnarea.rnWe compared each well's historical production with thatrnof its offsets and identified 339 underperformers beforernconsidering remediation costs, and 168 economically viablerncandidates based on restimulation costs = $50,000 per well.rnFrom this data, we prioritized a list based on the expected incremental recoverable gas and 10% discounted net presentrnvalue (NPV). For this study, we calculated the incrementalrngas by subtracting the volumes forecasted after remediationrnfrom the production projected at its current configuration.rnAssuming that remediation efforts increased productionrnfrom the 168 marginal wells to the average of their respectivernoffsets, approximately 6.4 Bscf of gross incremental gas withrna NPV approximating $4.9 million after investment, would bernmade available to the domestic market.rnSeventeen wells have successfully been restimulated torndate and have already obtained significant productionrnincreases. At the time of this report, eight of these wells hadrnenough post-rework production data available to forecast thernincremental gas and verify the project's success. Thisrnincremental gas is estimated at 615 MMscf. The outcome ofrnthe other ten wells will be determined after more post-refracrnproduction data becomes available. Plans are currentlyrnunderway for continued future restimulations.rnThe success of this project has shown the value of thisrnmethodology to recognize underperforming wells quickly andrnefficiently in fields containing hundreds or thousands of wells.rnThis contributes considerably to corporate net income andrndomestic natural gas and/or oil reserves.
机译:汽提塔气井和油井运营商经常面临着使低生产率油井产量最大化的难题。在美国,成千上万的汽提井覆盖了大面积的土地,很难轻松有效地识别边缘或性能欠佳的井。此外,审查大量数据的规模极大地限制了操作员的劳动力和财务资源。斯伦贝谢DCS与国家能源技术实验室(NETL)和美国能源部(DOE)合作,开发了软件并在内部分析方法来相对容易地识别汽提井中的修复潜力。该软件被称为汽提井分析补救方法(SWARM)。SWARM已通过与宾夕法尼亚州西北部两个气田有关的数据进行了Beta测试,并且结果显着。大湖能源伙伴有限责任公司(大湖)和伯尔登与布雷克公司(B&B)在所研究的第一个领域中均运行良好。他们提供了729口井的数据,并确定有41口井是可修复的。rn但是,由于斯伦贝谢未知的原因,塞恩韦尔井没有被操作员重新进行预算。rn第二个油田(库珀镇)位于克劳福德,韦南戈和沃伦县,并拥有由大湖地区运营的2,200多口井。本文深入讨论了该鱼类候选物识别研究的成功结果。我们将每口井的历史产量与其抵消量进行了比较,在考虑修复成本之前确定了339处表现不佳的农户,根据再刺激成本=每口50,000美元,确定了168具经济上可行的候选者。我们根据预期的增量可采气体和10%的折现净现值(NPV)确定了清单的优先级。在本研究中,我们通过从当前配置的产量中减去补救后的预测量来计算增量rn。假设补救工作将168口边际井的产量提高到了各自偏移量的平均值,则总净气量约为6.4 Bscf,而NPV近似于投资后的490万美元将用于国内市场。rn已成功重新估算了17口井的开采日期,并已获得了显着的产量增加。在撰写本报告时,这些井中的8口井没有足够的返工后生产数据可用于预测天然气增量并验证项目的成功。该增量气体估计为615 MMscf。其他十口井的结果将在获得更多的冰后后期生产数据后确定。当前正在计划继续进行将来的重新模拟。该项目的成功表明,这种方法论的价值是能够快速,有效地识别包含数百或数千口井的油田中表现欠佳的井。这为公司的净收入和国内天然气和/或石油储量做出了巨大贡献。

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