原标题:TGS获得美国陆上非常规测井数据 来源:中国石化
中国石化新闻网讯 TGS宣布从petrophysical Solutions公司购买所有美国陆上石油物理测井数据库和相关知识产权。
这些岩石物理数据分析将被添加到目前的TGS数据库中,这些数据来自于关键非常规盆地中约1400口井的测井曲线和岩芯分析关系。高质量的数据分析将有助于降低风险,提高钻井成功率,并通过优化勘探区、井眼轨迹和完井设计来提高产量。
TGS首席执行官Kristian Johansen评论道:“该数据采集支持了我们正在进行的战略中的关键点,为我们的客户提供行业领先的盆地和区域知识、远景级别和油藏评价。通过岩石物理分析确定的准确参数将使客户的完井方案更加成功。这将进一步巩固TGS作为美国陆上增储井数据主要供应商的地位。
TGS利用LAS Plus (LAS+)优质数字测井作为岩石物理解释的起点,为这些数据带来了额外的价值。对LAS+进行编辑、深度校正和组合,以提供最大深度覆盖范围的曲线,确保用于生成最终岩石物理解释的数据具有最高的质量和准确性。此外,通过提供在实际岩石样本上校准的模型来约束机器学习算法,同时填补测井曲线的空白,并计算缺失测井曲线的响应,岩石物理测井将增强TGS的数据和分析工作,尤其是ARLAS - Analytics Ready LAS。
赵斌 编译自 世界石油
原文如下:
TGS adds U.S. unconventional log databases from Petrophysical Solutions
TGS announced the purchase of all U.S. onshore petrophysical log database and associated intellectual property from Petrophysical Solutions, Inc.
These petrophysical interpretations, derived from well log and core analysis relationships in approximately 1,400 wells within key unconventional basins, will be added to the current TGS data library. Customers will benefit from high-quality interpretation to aid in reducing risks, increase the probability of drilling successes and increase production by optimizing landing zones, wellbore trajectories and completion designs.
Kristian Johansen, CEO at TGS, commented, “This data acquisition supports critical points in our ongoing strategy to provide our customers with industry-leading basin and regional knowledge, prospect ranking and reservoir evaluation. Accurate parameters determined from petrophysical analysis will make our customers’ completion programs more successful. It will further strengthen TGS’ position as the leading supplier of enhanced well data onshore U.S.”
TGS brings additional value to this data by utilizing LAS Plus (LAS+) premium digital well logs as a starting point for petrophysical interpretation. LAS+ are edited, depth-corrected and composed to provide curves with maximum depth coverage, assuring that the data used in the creation of the resulting petrophysical interpretation is of the highest quality and accuracy. Furthermore, the petrophysical logs will enhance TGS’ Data Analytics efforts, most notably ARLAS – Analytics Ready LAS, by offering models calibrated on actual rock samples to constrain machine learning algorithms while filling gaps of log curves and calculating the curve responses of missing log runs.
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