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首页> 外文会议>SPE Asia Pacific improved oil recovery conference (APIORC 01) >Benchmarking of Steamflood Field Projects in Light/Medium Crude Oils
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Benchmarking of Steamflood Field Projects in Light/Medium Crude Oils

机译：轻/中质原油中蒸汽驱油田项目的基准测试

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摘要

A benchmarking study on 43 steamflood of light/mediumrncrude oils was performed, to find attractive reservoirrncharacteristics and successful operational practices that arernused worldwide. More than 30 successful projects werernanalyzed and summarized in a database, which includedrnreservoir properties, best operational practices and resultsrnobtained. On average, an incremental oil recovery of 19%rnOOIP was obtained by steamflooding, during a projectrnlifetime of up to seven years.rnBased on the successful project characteristics, werndeveloped a model to rank potential reservoirs. Reservoir datarnwere analyzed using standard statistical methods forrnproperties, such as: API gravity, initial oil saturation, reservoirrntemperature, porosity, initial pressure, depth, net pay, viscosityrnat reservoir condition, initial (at the beginning of steamdrive)-rnbubble pressure ratio and average permeability. The statisticalrnmodel ranked the properties on a standardized score scale. Arnpredicted score close to one hundred indicates a highrnprobability of success. Supported by this numerical model, wernselected the La Salina reservoir (La Rosa Formation, LakernMaracaibo, Western Venezuela) as a potentially successfulrnreservoir to apply steamflood technology.rnIn addition, unsuccessful projects from two differentrnreservoirs (the Naval Petroleum Reserve No. 1, and BuenarnVista Hills, both in the USA) were analyzed, to understand thernreasons for failure. Several reasons were identified, such as:rnpoor reservoir characterization, thief zones and carbon dioxidernformation by decomposition of reservoir minerals.
机译：进行了对43种轻质/中质原油蒸汽驱的基准研究，以发现引人注目的储层特征和成功的运营实践，并在全球范围内推广使用。对30多个成功的项目进行了分析，并将其汇总到一个数据库中，其中包括储层属性，最佳运营实践和获得的成果。在长达七年的项目生命周期中，通过蒸汽驱平均获得了19％rnOOIP的增量采油量。rn基于成功的项目特征，我们开发了一个对潜在油藏进行排序的模型。使用标准的统计方法分析储层数据的物性，例如：API重力，初始油饱和度，储层温度，孔隙率，初始压力，深度，净水，黏度，储层条件，初始（在蒸汽驱开始时）-气泡压力比和平均渗透率。统计模型以标准化分数量表对属性进行排名。 Arn预测得分接近一百表明成功的可能性很高。在此数值模型的支持下，我们选择了拉萨利纳油层（委内瑞拉西部的拉罗萨组，拉克兰马拉开波湖）作为潜在成功的储层，应用了蒸汽驱技术。此外，两个不同的储层（海军石油储备1号和布纳恩维斯塔山）的项目均未成功。 （均在美国）进行了分析，以了解造成失败的原因。确定了以下几个原因，例如：储层特征不佳，小偷带和储层矿物分解导致二氧化碳形成。

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