探井生产测井与常规测井确定流体性质及储层净产层界限——以渤海JZ油田花岗岩裂缝性储层为例

Xinlei Shi, Yunjiang Cui, Sainan Xu, Ruihong Wang, Hao Zhang
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引用次数: 2

摘要

由于在花岗岩储层中,电阻率测井对岩石的敏感性远高于对碳氢化合物的敏感性,因此常规测井方法并不总是能够准确地评估流体性质并确定产层。钻杆测试(DST)通常用于识别流体性质和油气生产潜力。然而,花岗岩储层的DST不能准确地从子层确定产量,从而导致净产层识别和储量估计不准确。准确确定裂缝性花岗岩储层的流体性质和净产层仍然是一个具有挑战性的课题。在JZ油田以裂缝性花岗岩油藏为特征的探井中,提出了生产剖面测井(PLT)的应用,该油田在联合测试的厚层中,DST无法表征子层的PLT。利用裸眼完井测试,PLT测井可以很容易地识别子层的产量。流体密度和水持率与流量计测井的响应一致。该方法不仅可以识别子层的产量,还可以确定流体的性质。同时,根据PLT测井解释,可以量化各子层的产量。该方法在JZ油田产能评价中得到了满意的应用。结果表明,在JZ油田的4口探井中应用PLT测井是成功的。根据PLT测井对流量、密度和持水率的解释,在DST中识别子层。利用PLT测井解释计算各子层产能指数。将横向电阻率测井与声波测井资料相结合,结合PLT解释测井结果,根据各子层产量绘制出孔隙度和深浅横向电阻率比图。确定JZ油田净产层边界φ≥3.0%,(RD/RS) *DT≥90。该方法提高了储量评价的准确性,解决了DST中净产油边界估计值大于实际值的问题。与裂缝性花岗岩储层的DST相比,PLT测井不仅可以准确确定流体性质和确定净产层边界,而且大大降低了成本。PLT测井通常用于动态监测套管井。本研究的新颖之处在于测井技术在储量估算中的成功应用。与传统的基于DST的储量估计方法相比,该方法能够准确识别裂缝性花岗岩的净产层和确定净产层边界,提高了储量估计的准确性。因此,当油价较低时,该油田可以更经济地开发。
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Determination of Fluid Properties and Reservoir Net Pay Cutoffs by Production Logging and Conventional Logs in Exploration Wells :A Case Study of the Granite Fractured Reservoir in JZ Oilfiled in Bohai Sea
Since resistivity logging is much more sensitive to rocks than to hydrocarbons in granite reservoirs, conventional logging methods cannot always accurately evaluate fluid properties and identify pay zones. Drill Stem Test (DST) is often used to identify fluid properties and hydrocarbon production potentials. However, DST in granite reservoirs cannot accurately determine production from sub-layers which leads to inaccurate net pay zone identification and reserve estimation. The accurate determination of fluid properties and net pay zones in fractured granite reservoirs remains a challenging topic. This study proposes the use of Production Profile Logging (PLT)Logging in exploration wells in JZ oilfield characterized by fractured granite reservoirs, where DST could not characterize the sub-layers’ PLTs with in the thick layer of the combined test. With the use of open hole completion test, PLT logging can easily identify the production from sub-layers. The fluid density and water hold-up are consistent with the response of flowmeter logs. The method not only identifies production from sub-layers but also determines fluid properties. Meanwhile, it can quantify the production from each sub-layer according to PLT logging interpretation. It has satisfactory application in productivity evaluation in JZ oilfield. Results indicate that the use of PLT logging in four exploration wells in JZ oilfield is successful. Sub-layers are identified in DST based on PLT logging interpretations of flow rate, density, and water hold-up. The productivity index of each sub-layer is calculated by PLT logging interpretation. Combining lateral resistivity logs with sonic logging data, Draw porosity and ratio of the deep and shallow lateral resistivity plot based on each sub-layer’ production with PLT interpretation Logging results. Net pay cutoffs of JZ oilfield is determined to be φ≥3.0% and (RD/RS) *DT≥90. This method improves the accuracy of reserve evaluation and solves the problem that the estimates of net pay cutoffs are larger than actual values in DST. Compared with DST in fractured granite reservoirs, PLT logging not only leads to accurate determination of fluid properties and identification of net pay cutoffs but also largely reduces the costs. PLT logging is conventionally used to dynamically monitor cased hole wells. The novelty of this study is the successful application of PLT logging in reserve estimation. Compared to the conventional reserve estimation method based on DST, this new strategy accurately identifies net pay zones and determines net pay cutoffs in fractured granites to improve the accuracy of reserve estimation. Thus, the field can be developed more economically when oil prices are low.
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