美国石油学会支撑剂测试不尽如人意

Stephen Rassenfoss
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But a recent paper argues that measuring sand strength by the number of fines—small grains created by crushing—is an erratic indicator.\n The SPE paper delivered at the 2024 SPE Hydraulic Fracturing Technology Conference described a blind test where a Permian sand supplier, Atlas Energy Services, sent out 120 samples of variously sized sand grains to four testing labs. The results for identical samples varied widely, even within the testing labs (SPE 217767).\n “We are seeing 2K to 3K variation internally at independent labs on split samples, and at least 3K variation between labs,” said Ian Renkes, the paper’s lead author who is regional continuous improvement manager for Atlas in the Permian, adding, “This makes it very difficult if not impossible to differentiate between sand providers.”\n For Atlas and other sand mines competing for business by focusing on delivering quality sand, this is frustrating because the inconsistent testing undermines those efforts.\n There was an interesting detail near the end of the paper suggesting a large operator also has concerns. 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引用次数: 0

摘要

判断支撑剂强度的简短答案听起来很简单,只需询问 K 值即可。K 值是指砂样在 API STD 19C 规定的 "水力压裂作业中使用的砂测试 "中可承受的压碎测试重量(以千为单位)。例如,能通过 8,000 磅挤压试验但在 9,000 磅挤压试验中不合格的砂样就是 8-K 砂。该标准的目的是测量砂子样本在用来撑开裂缝,让油气继续流动时能承受多大的重量。但最近的一篇论文认为,用细粒--破碎后产生的小颗粒--的数量来衡量砂的强度是一个不稳定的指标。在2024年SPE水力压裂技术大会上发表的SPE论文描述了一项盲测,二叠纪砂供应商阿特拉斯能源服务公司(Atlas Energy Services)向四家测试实验室发送了120个大小不一的砂粒样本。相同样本的测试结果差异很大,甚至在测试实验室内部也是如此(SPE 217767)。"本文第一作者 Ian Renkes 是阿特拉斯公司在二叠纪地区的区域持续改进经理,他说:"我们看到独立实验室内部对分割样品的检测结果有 2K 到 3K 的差异,实验室之间至少有 3K 的差异,"他补充说,"这使得区分砂供应商变得非常困难,甚至不可能。对于阿特拉斯和其他专注于提供优质砂的砂矿来说,这种情况令人沮丧,因为不一致的测试破坏了这些努力。文件结尾处有一个有趣的细节,表明一家大型运营商也有顾虑。参考文献列表的开头提到 "康菲公司的托德-凯奇(Todd Cage)完成了最初的工作,为本文提供了基础"。Cage是康菲石油公司在米德兰的商业化经理,他没有发表评论,但他在设计测试中的作用表明,他对砂测试的兴趣不仅仅是一知半解。 在测试中,阿特拉斯使用在得克萨斯州克米特开采和加工的沙子,制作了三个目数范围的大样本--30/50、40/70 和 100 目(40/140)。采用 API 19C 方法对每个样本进行了 30 次测量。然后,他们将它们分成更小的包。最终,四家测试公司中的每家都测试了 30 包。为了掩盖这是一次测试的事实,他们在 6 个月的时间里,每次向实验室发送 2 到 7 个样本。论文中说:"在发送样品时,他们小心翼翼地给样品贴上标签,因此实验室并不知道每批样品都是完全相同的分装样品"。这种方法被称为 "循环 "测试。跟踪结果的图表显示测试结果差异很大。压碎测试中的关键数字是压碎后样品中细粒所占的百分比。API 规则将细粒定义为小于原始样品中最小颗粒的颗粒。例如,当 2 号实验室使用 8000 磅的力对 40/70 目谷物进行测试时,该公司报告测量出的细粒比其他三个实验室多出约 50%。该实验室的结果均为整粒的 15%左右,这意味着这些样品在该压碎重量下不合格。但其他三家实验室的结果大多集中在 10%以下,表明这些样品中的大多数都能通过。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
API Proppant Test Not Looking So Strong
The short answer for how to judge proppant strength sounds simple—just ask for the K-value. The K refers to the weight in thousands that a sand sample can withstand in a crush test defined by API STD 19C covering “testing sand used in hydraulic fracturing operations.” For example, a sample that passes an 8,000-lb crush test but fails at 9,000 lb is an 8-K sand. The goal of the standard is to measure how much weight a sand sample can withstand when used to prop open fractures to allow oil and gas to keep flowing. But a recent paper argues that measuring sand strength by the number of fines—small grains created by crushing—is an erratic indicator. The SPE paper delivered at the 2024 SPE Hydraulic Fracturing Technology Conference described a blind test where a Permian sand supplier, Atlas Energy Services, sent out 120 samples of variously sized sand grains to four testing labs. The results for identical samples varied widely, even within the testing labs (SPE 217767). “We are seeing 2K to 3K variation internally at independent labs on split samples, and at least 3K variation between labs,” said Ian Renkes, the paper’s lead author who is regional continuous improvement manager for Atlas in the Permian, adding, “This makes it very difficult if not impossible to differentiate between sand providers.” For Atlas and other sand mines competing for business by focusing on delivering quality sand, this is frustrating because the inconsistent testing undermines those efforts. There was an interesting detail near the end of the paper suggesting a large operator also has concerns. The list of references began by crediting “Todd Cage of ConocoPhillips who performed the initial work that provided the basis of this paper.” Cage, ConocoPhillips’ commercialization manger in Midland, did not comment, but his role in devising the test suggests more than a passing interest in sand testing. For the test, Atlas created large samples in three mesh-size ranges—30/50, 40/70, and 100-mesh (40/140), using sand mined and processed in Kermit, Texas. Each of them was measured 30 times using the API 19C methodology. They then split them up into smaller packages. Each of the four testing companies ultimately tested 30 packages. To conceal the fact this was a test, they sent out two to seven samples at a time to labs over a 6-month period. The paper said, “Care was taken when sending the samples out to label them, so the laboratories were not aware the samples in each batch were identical splits.” This method is referred to as “round-robin” testing. Charts tracking the results show large variations in the test results. The critical number in the crush test is the percentage of the sample made up of fines after crushing. API rules define fines as grains smaller than the smallest grains in the original sample. For example, when 40/70-mesh grains were tested using 8,000 lbs of force by the company identified as Lab 2, it reported measuring about 50% more fines than the other three labs. Its results, which were all around 15% of the whole, would mean those samples failed to pass at that crush weight. But the other three labs were mostly clustered just below the 10% level, suggesting most of those samples would pass.
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