首页> 外文会议>Russian Oil and Gas Technical Conference and Exhibition >Using Resistivity Log Invasion Profiles, Multiple Porosity Logs, Core and Test Data to Determine Lithology, Porosity and Permeability in Pre- Cambrian Sandstones of Eastern Siberia
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Using Resistivity Log Invasion Profiles, Multiple Porosity Logs, Core and Test Data to Determine Lithology, Porosity and Permeability in Pre- Cambrian Sandstones of Eastern Siberia

机译:使用电阻率日志侵入配置文件,多孔隙度日志,核心和测试数据,以确定西伯利亚东部寒武纪砂岩的岩性,孔隙度和渗透性

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The Verkhnechonskoye field was discovered and appraised during the late 1970s and early 1980s. One hundred legacy wells and three modern wells have been reevaluated and results used to construct a static model that matched test results and was used to forecast field potential. The Verkhnechonskoye field is currently operated by TNK-BP. Cores in the three modern wells were studied to determine lithology, depositional facies, and mineralogy. Results were applied to crossplots of sonic and neutron log data. These crossplots showed six different lithofacies: basement, weathered-basement, high permeability sand, low permeability sand, salt/anhydrite-cemented sand, and carbonate. Sand was subdivided into relatively high and relatively low permeability sands using the laterolog and microlaterolog, based on the observation that sand with microlaterolog values less than 10 ohm-m were observed to be highly productive on test. To calculate porosity, the neutron, sonic, and core porosity were compared. Preliminary porosity was calculated using a field-wide solution from a combined crossplot of sonic log values and core data. Well by well analysis indicated that the sonic logs often underestimated porosity and that neutron logs tended to match core porosity better. Petrographic analysis confirmed that widespread secondary porosity was not detected by sonic logs. Single-well porosity solutions based on neutron logs were used together with sonic porosity calculations to finalize porosity estimates. For permeability, high and low trends were calculated for sands using the microlaterolog to define high permeability and low permeability sands. A relatively high permeability to porosity relationship was applied to sands with microlalaterolog values less than 10 ohm-m and a relatively low permeability to porosity relationship was applied to sand with microlaterlog values greather than 10 ohm-m.. A significant number of core permeability measurements were available and these points were honored after depth-shifting. Finally, log derived permeability was modified to match average permeability derived from well test results. Identification of multiple lithologies and calibration of porosity and permeability to core measurements and well test results signficantly reduced uncertainty in calculated results.
机译:在20世纪70年代后期和20世纪80年代初发现和评估了Verkhnechonskoye。已经重新评估了一百个遗留井和三个现代井,并用于构建符合测试结果的静态模型,并用于预测场潜力。 Verkhnechonskoye字段目前由TNK-BP运营。研究了三个现代化井的核心,以确定岩性,沉积相和矿物学。结果应用于Sonic和中子日志数据的交叉点。这些交叉点显示出六种不同的岩型:地下室,风化 - 地下室,高渗透砂,低渗透砂,盐/无水水解砂和碳酸盐。基于观察结果,在观察到砂的观察结果观察到砂质的观察表,砂被灌注到相对高且相对较低的渗透性砂中,观察到小于10欧姆-M的砂质,以高效测试。为了计算孔隙率,比较中子,声调和核心孔隙率。使用来自Sonic Log值和核心数据的组合交叉图的场宽溶液计算初步孔隙率。通过井分析表明声音测量通常低估孔隙率,中子原木倾向于更好地匹配核心孔隙率。岩体分析证实,Sonic Logs未检测到广泛的二级孔隙率。基于中子原木的单孔孔隙率溶液与声波孔隙率计算一起使用以完成孔隙率估计。对于使用微型剂学的砂体计算渗透性的渗透性,为砂体计算高渗透性和低渗透性砂。将孔隙关系的孔隙率相对较高的渗透性施加到具有小于10欧姆-M的砂质,并且将孔隙率关系的相对低的渗​​透性施加到与10欧姆-M的微型液体值的砂砂。大量核心渗透率测量可用,深入换热后,这些要点予以尊重。最后,修改了日志导出的渗透率以匹配从井测试结果衍生的平均渗透率。识别多种岩性和孔隙率的校准和渗透性核心测量和井测试结果在计算结果中显着降低了不确定性。

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