2018年5月
特征

卫星/航空成像识别结构异常和碳氢化合物的存在

直接检测技术可识别超轻基本粒子相互作用产生的基本特性。这些微小的亚原子粒子不断发出固有的辐射光谱,可以对其进行跟踪以得出有关矿藏的推论。
Jim Combs / 石油和天然气发现者有限责任公司 Jeffery M. Drizin / 石油和天然气发现者有限责任公司 Oleg Yatsuk / 石油和天然气发现者有限责任公司

碳氢化合物、贵金属和钻石都会产生内在排放,并留下可以在卫星图像上观察到的独特特征。这些数据在实验室中进行处理,并且可以在现场调查期间记录它们的光谱。尽管化学成分相似,但“本征辐射”光谱存在一些差异,这使得区分煤中的碳和钻石中的碳成为可能。

该公司的直接检测技术 (DDT) 分两个独立的阶段进行应用,并使用过程每个阶段获得的数据提供书面和/或口头报告。DDT 第一阶段是根据从卫星图像获得的数据,对客户指定的指定区域的异常碳氢化合物矿床进行初步识别。DDT 第二阶段,现场调查包括在已识别的碳氢化合物异常上空飞行直升机,以提供有关矿床轮廓的确切位置和生产层的地下层理深度的信息。

现场考察包括使用该公司专有的 GEO-SCAN ML2 探测器测量异常沉积物,该探测器安装在直升机上,或者在某些情况下通过地面运输安装。然后,获得的所有数据及其解释都会显示在地质图和 3D 图像上,提供最终的碳氢化合物矿床深度、大小和轮廓,以及进一步勘探和/或开发井的位置。

哈萨克斯坦调查

2015 年至 2017 年间,哈萨克斯坦共和国进行了一项滴滴涕研究。该技术在哈萨克斯坦被称为“亚原子技术”。碳氢化合物特许经营权的运营商是 MMD (JSC Mangistaumunaigas),向 MMD 提供勘探服务的分包商是 TOO (KAZ-Waterhanters LLP)。分包商聘请服务提供商进行完整的两阶段调查。该合同由TOO总经理RA Magomadov和OGD高级副总裁Oleg Yatsuk签署。OGD 基于两阶段 DDT 调查获得的额外好处是允许分包商发布报告的精简版,以承认 DDT 调查对于探测和描绘相当深度的碳氢化合物矿床的有效性。

在哈萨克斯坦,勘探传统上依赖于采用 2D 和 3D 应用的地震反射勘测,然后对已识别的潜在地下结构和地层进行钻探。2015年,使用DDT对已开发和生产的油田Alatube和Atambai-Sartube进行了调查,以识别深度达6,000 m的碳氢化合物沉积物。这些哈萨克斯坦油田已有至少 30 年历史,拥有大量生产井和堵塞的生产井。该研究作为一个试点项目,旨在确定这些深度的碳氢化合物沉积物。该公司签订了第一阶段勘察合同,勘察面积为 100 km 2 。

无效的
图 1. 根据第一阶段调查数据和解释,黄色斑块表示预期含油气地层。

 第一阶段调查结果。根据概述的第一阶段勘察程序,客户向 OGD 提供了两个特许区域的坐标,如图 1 所示。尽管过去使用标准碳氢化合物勘探技术收集了大量信息,但提供商并未要求提供碳氢化合物勘探数据。几十年可用。这些调查以及对数据的分析和解释已被用来确定几个钻井地点。

在第一阶段勘察过程中,作业者远景勘探100km 2范围内,由于含烃地层固有的亚原子辐射,呈现出强、中强度的构造异常信号。 。这些异常现象表明客户特许权的地下肯定存在碳氢化合物。在卫星图像实验室处理过程中发现的碳氢化合物异常以黄色物体表示,如图 1 所示。

图 2. 第二阶段调查的立交桥图。

第二阶段调查结果。基于积极的第一阶段调查结果,OGD 和分包商决定对运营商的两项特许权进行第二阶段调查。拟议的直升机飞越异常区域的网格如图2 所示。

通常情况下,第二阶段调查中发现的异常现象比第一阶段生成的卫星图像更清晰。这是由于低空和紧密间隔的直升机区域以及安装在直升机上的专有 GEO-SCAN ML2 设备提供的碳氢化合物排放绘图灵敏度更高。

 

 

图 3. 基于第二阶段勘测数据的固有辐射异常 3D 模型。

对这两项调查的分析和解释使服务提供商能够识别并指定红色和深蓝色未来勘探和商业开发的前景区域,如图 3 所示。OGD 指出,坐标收敛期间也存在 50 和 90 m 之间的差异与特许经营区 GPS 不准确的情况一样。

 根据碳氢化合物异常的强度,服务提供商概述了三个最有前景的进一步开发区域(S1、S2 和 S3)。这些区域将能够按强度对内在排放进行排名,并为碳氢化合物矿床提供直接的地理参考。它还将使提供商能够确定特定位置含碳氢化合物地层的深度,并推荐后续钻探目标。最后,它将大大缩小后续地球物理活动和勘探钻探的区域。根据数据(图3),OGD注意到S1和S2区域位于运营商的特许权范围内,但S3位于轮廓线之外,但与租赁地相邻。这些区域被认为是生产力最高的,估计准确率在 85% 到 90% 之间。

详细分析

由于卫星对地球表面成像的角度不同,第一阶段勘测中发现的主要碳氢化合物异常与第二阶段勘测中收集的数据有所不同。然而,在审查图 1图 3数据后,很明显在第二阶段调查期间发现了一些额外的碳氢化合物异常。

图4. 第二阶段调查发现了七处高排放强度异常现象。

为了充分利用分析结果,我们制作了一张扩展地图,突出显示了七个高度有前景的异常区域,这些异常区域将是勘探钻探的绝佳位置,如图 4 所示。这些异常区域位于最大强度异常区域(红色区域)的轮廓内。

为了有效地进行后续操作,有必要将井定位在已识别的红色和蓝色异常的轮廓内。通过独立地球动力模型分析、地震资料和DDT勘测结果确定,高强度异常的等值线对应于局部高度断裂带。然而,该勘探技术不仅能识别现有的区域和构造,还能精确显示哪些区域和构造含有碳氢化合物,这比其他勘探调查方法要优越。

根据工作情况,建议初始钻探地点为S1“2”点,命名为42号井,见图4。为排除评价偏差,该类井在现有油田钻探不是由网格排列预先确定的自动发展过程。推荐点位置较偏僻,距最近井约1200m。换句话说,调查确定该地点发现了新的碳氢化合物矿床。尽管如此,该井距离哈萨克斯坦产量最高的油井约 1,200 m,该油井的产量约为 1,400 公吨/天(10,220 bopd)。

图 5. 含油气层位的 3D 模型。

堆积的生产区。第二阶段勘探分析确定了五层碳氢化合物,其中最高产层位于 3,500 至 3,900 m 和 4,900 至 5,100 m 之间。为了确认最有前景的生产层位的选择,生成了碳氢化合物异常的本征辐射强度的 3D 模型以及强度尺度,如图 5 所示。最大本征发射强度位于 3.5' 深度。 Ø3.9 公里和 4.9 至 5.1 公里。

经验表明,使用 DDT 技术时,所识别的二维异常(图 1)根据给定深度区间内的生产区域构成复合信号。或者,在3.5-3.9公里区间内识别的最大强度信号是该深度区间内多区沉积物的物质/能量反射。

 

 

井号的结果。42

图 6. 感兴趣区域的岩性测井。

2017年,42号井在上述地点钻探,深度为3,962 m。钻探过程中进行的测井在2,420 m处记录到了第一个显着产气层位,该层位与煤层有关。在 3,450 和 3,900 m 处发现了含烃油层。这些是 3D 框图上显示的深度间隔,基于第二阶段的勘测数据和分析。最有特征的钻屑被分离出来并显示在岩性测井上,图 6。

完成了全套地球物理测井,充分证实了该剖面存在多层储层,对应上、中三叠统地层,见图7。这些结果证明了DDT技术在确定地层边界方面的预测准确性。确定含油气层位,确定异常轮廓,直接指示油气沉积。

结论

42 号井的钻探得出了使用 DDT 识别预期异常的结论:

  1. 碳氢化合物矿藏发现的高精度。建议钻第一口井的极值点是富有成效的,概率不低于 90% 至 95%。
  2. 根据实践经验确定已识别生产层位深度界限的误差不超过5%至7%。在目前的情况下,这一比例不超过1%。
  3. 成本低、周转时间短以及调查结果与实际数据高度一致,使我们能够自信地规划新油田的尽早开发,从而提高生产指数。
图 7. 地球物理测井证实了多个产油区的存在。

在调查结果的最终报告出炉后,与分包商和现场地质学家召开的后续会议得出的结论是,DDT 发现的所有碳氢化合物异常均处于现有生产水平或具有潜在商业储量的水平。

地质学家承认,在 DDT 调查区域,存在不同类型的构造破坏,这些破坏在报告中得到了准确的识别。运营商和分包商均同意需要进一步修改钻井计划,从而节省数百万美元,并于 2018 年开始额外的钻井活动。

运营商的视角。 Mangistaumunaigaz 地质和油田开发总监 Baipakov 先生评论道:“使用 DDT 调查收集的异常图使得根据预期地层的含油饱和度水平确定最有希望的地点成为可能。” 根据数据,已钻探一口井,该井确实在预测的 3,500 至 3,900 m 区间内遇到了生产层位。”

 

 

经过测井,确定生产层段位于 3,444 至 3,902 m 之间。产层深度预测误差相对于地层顶部仅为56 m,相对于地层底部为2 m。

运营商的管理团队表示,预测的地层顶部/底部对于确定空间边界和地平线深度来说是可以接受的。

由于这一成功,JSC Mangistaumunaigaz 将在另外 6 个 DDT 高强度异常区域另外钻探两口深测试井。 wo-box_blue.gif

致谢

OGD感谢KazMunayGas National Co.董事会成员US Karabalin先生和JSC Mangistaumunaigaz总经理BA Imanbaev先生在这个实验性碳氢化合物示范项目过程中的信任和理解。

关于作者
吉姆·库姆斯
石油和天然气发现者有限责任公司
Jim Combs 是 Oil and Gas Discoverer, LLC 的首席地球物理学家。Combs 博士自 2009 年以来一直在该公司工作,负责监督 DDT 的使用。他提供专业的地球物理、地质和地球化学分析,同时确定专家来解决具体问题。库姆斯博士在南卫理公会大学获得数学和地质学学士学位,在麻省理工学院获得地球物理学博士学位。
杰弗里·M·德里津
石油和天然气发现者有限责任公司
Jeffery M. Drizin 是 Oil and Gas Discoverer, LLC 的总裁兼首席执行官。自2001年起,他直接参与了Oil and Gas Discoverer Technology的开发。 Drizin博士是负责探测测量设备和数据收集的团队的主要技术顾问。Drizin 博士在拉脱维亚里加理工学院获得硕士学位,并在拉脱维亚国立大学获得量子物理学博士学位。
奥列格·雅苏克
石油和天然气发现者有限责任公司
Oleg Yatsuk 是 Oil and Gas Discoverer, LLC 的高级副总裁。Yatsyuk 博士是 GeoVision 技术开发和应用的主要贡献者。在过去的几年里,他不断设计新一代卫星图像处理和最先进的野外测量设备。Yatsyuk 博士是 OGD LLC 实验室的主任,该实验室在准备最终报告之前对数据进行处理和分析。Yatsyuk 博士获得莫斯科航空技术大学博士学位。
相关文章 来自档案
原文链接/worldoil
May 2018
Features

Satellite/aerial imaging identifies structural anomalies and presence of hydrocarbons

A direct detection technology identifies fundamental properties generated by the interaction of super-light elementary particles. These small, sub-atomic particles constantly emit an intrinsic radiation spectrum that can be tracked to draw inferences about mineral deposits.
Jim Combs / Oil and Gas Discoverer, LLC Jeffery M. Drizin / Oil and Gas Discoverer, LLC Oleg Yatsuk / Oil and Gas Discoverer, LLC

Hydrocarbons, precious metals and diamonds all generate intrinsic emissions and leave distinctive signatures that can be observed on satellite images. These data are processed in the laboratory and their spectrum can be recorded during field surveys. Despite the similarity of chemical composition, the “intrinsic radiation” spectrum has several differences, which makes it possible to distinguish the carbon of coal from the carbon in diamonds.

The company’s Direct Detection Technology (DDT) is applied in two separate stages with written and/or verbal reports, using data obtained during each stage of the process. DDT stage one is the initial identification of anomalous hydrocarbon deposits for a defined area specified by the client, based on data obtained from satellite images. In DDT stage two, a field survey consists of flying a helicopter over the identified hydrocarbon anomalies, to provide information on the exact location of deposit outlines and subsurface bedding depth of productive horizons.

The field expedition includes measuring anomalous deposits using the company’s proprietary GEO-SCAN ML2 detector, installed onboard a helicopter or, in some cases, by ground transport. All of the data obtained, and their interpretations, are then presented on a geological map and 3D image providing final hydrocarbon deposit depth, size, and contour, as well as locations for further exploration and/or development wells.

KAZAKHSTAN SURVEYS

Between 2015 and 2017, a DDT study was conducted in the Republic of Kazakhstan. The technology is known in Kazakhstan as “sub-atomic technology.” The operator of the hydrocarbon concessions is MMD (JSC Mangistaumunaigas) and the subcontractor providing exploration services to MMD was TOO (KAZ-Waterhanters LLP). The subcontractor hired the service provider to perform a complete two-stage survey. The contract was signed between General Director R.A. Magomadov of TOO and senior vice president Oleg Yatsuk of OGD. The added benefits obtained by OGD based on the two-stage DDT surveys was the permission of the subcontractor to publish a condensed version of the report to acknowledge the validity of DDT surveys for detecting and delineating hydrocarbon deposits to considerable depths.

In Kazakhstan, exploration has traditionally depended on seismic reflection surveys with 2D and 3D application, followed by drilling on identified potential subsurface structures and stratigraphy. In 2015, the developed and producing oil fields, Alatube and Atambai-Sartube, were surveyed using DDT to identify hydrocarbon deposits at depths up to 6,000 m. These Kazakhstan oil fields were at least 30 years old, with a substantial number of productive wells and plugged producers. The study served as a pilot project to identify hydrocarbon deposits at these depths. The company was contracted to survey an area of 100 km2 using a stage-one survey.

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Fig. 1. The yellow patches indicate prospective hydrocarbonbearing formations, based on stage-one survey data and interpretation.

 Stage-one survey results. According to the outlined stage-one survey procedures, the client provided OGD with coordinates for the two concession areas, Fig. 1. The provider did not request hydrocarbon exploration data, although a considerable amount of information collected using standard hydrocarbon exploration technologies over the past decades was available. These surveys, with the analysis and interpretation of the data, had been used to identify several drilling locations.

In the process of performing the stage-one survey, over the 100 km2 of the operator’s prospective exploration, it showed strong- and medium-intensity signals from structural anomalies, due to the intrinsic sub-atomic radiation of hydrocarbon-bearing formations. These anomalies indicate the definite presence of hydrocarbons in the subsurface of the client’s concessions. Hydrocarbon anomalies identified during laboratory processing of satellite images are indicated as yellow objects, Fig. 1.

Fig. 2. A flyover pattern of the stage-two survey.

Stage-two survey results. Based on positive stage-one survey results, OGD and the subcontractor decided to run stage-two surveys over both of the operator’s concessions. The proposed grid for the helicopter pass-over of the anomalous areas is shown in Fig. 2.

As is typically the case, the anomalies identified during the stage-two survey are more clearly defined than the satellite images produced in stage one. This is due to the greater mapping sensitivity of hydrocarbon emissions provided by the low-level and closely-spaced helicopter tracts, and the proprietary GEO- SCAN ML2 equipment installed onboard the helicopter.

 

 

Fig. 3. A 3D model of intrinsic radiation anomalies, based on stage-two survey data.

Analyses and interpretation of both the surveys enabled the service provider to identify, and designate red and dark blue, prospective areas for future exploration and commercial development, Fig 3. OGD noted that there were discrepancies between 50 and 90 m during coordinate converging, as well as with GPS inaccuracies in the concession areas.

 Based on the intensity of the hydrocarbon anomalies, the service provider outlined the three most prospective areas for further development (S1, S2 and S3). These areas would make it possible to rank the intrinsic emissions by intensity and provide direct geo-references for the hydrocarbon deposits. It would also enable the provider to determine the depth of hydrocarbon-bearing formations at the specific locations and recommend subsequent drilling targets. Finally it would substantially narrow the area for subsequent geophysical activity and exploration drilling. Based on the data (Fig. 3), OGD noted the S1 and S2 areas were within the operator’s concession, but S3 is outside the outline, but adjacent to the leasehold. These areas are considered the most productive, with an estimated accuracy between 85% and 90%.

DETAILED ANALYSIS

Due to the different angles of satellite imaging of the earth’s surface, the primary hydrocarbon anomalies identified in the stage-one survey are somewhat different than data collected during the stage-two survey. However, after a review of Fig. 1 and Fig. 3 data, it became apparent that several additional hydrocarbon anomalies were identified during the stage-two survey.

Fig. 4. The stage-two survey identified seven anomalies with high emission intensities.

To fully exploit the analysis, an expanded map was produced that highlighted seven highly prospective anomalies that would be excellent locations for exploratory drilling, Fig. 4. These anomalies are located within the contours of maximum intensity anomalies (red areas).

For effective subsequent operation, it is necessary to locate wells within the contours of the identified red and blue anomalies. It has been determined by independent geodynamic model analysis, seismic data, and the results of DDT surveys, that the contours of high-intensity anomalies correspond to highly fractured local zones. However, the survey technology does not merely identify existing zones and structures, but precisely shows which ones contain hydrocarbons, which is superior to other exploration survey methods.

Based on the work, an initial drilling site was recommended at point “2” in S1, and was designated Well No. 42, Fig. 4. To rule out biased assessment, the drilling of this type of well in the existing field is not an automatic developmental procedure predetermined by a grid arrangement. The recommended point was fairly remote, with the distance to the nearest well approximately 1,200 m. In other words, it was determined that the surveys had identified a new hydrocarbon deposit at the site. Nonetheless, the well would be positioned about 1,200 m from the most productive well in Kazakhstan that is producing approximately 1,400 metric tons/day (10,220 bopd).

Fig. 5. A 3D model of hydrocarbon-bearing horizons.

Stacked production zones. The stage-two survey analysis identified five layers of hydrocarbons, with the most productive being between 3,500 to 3,900 m and 4,900 to 5,100 m. To confirm the selection of the most prospective production horizons, a 3D model of the intensity of intrinsic radiation from the hydrocarbon anomalies was produced, along with an intensity scale, Fig. 5. The maximum intrinsic emission intensity is located at the depths of 3.5–3.9 km and 4.9–5.1 km.

Experience has shown when using the DDT technology, that the identified 2D anomalies (Fig. 1) constitute composite signals, based on the productive zones within the given depth interval. Or, the maximum intensity signal identified in the 3.5–3.9-km interval is a material/energetic reflection of the multi-zone deposit within this depth interval.

 

 

RESULTS FOR WELL NO. 42

Fig. 6. A lithology log of zones of interest.

In 2017, Well No. 42 was drilled at the location discussed above to a depth of 3,962 m. Logging conducted in the process of drilling the well recorded the first significant gas productive horizon at 2,420 m, which was associated with coal strata. Hydrocarbon-bearing oil horizons were identified at 3,450 and 3,900 m. These were the depth intervals presented on the 3D block diagram, based on stage-two survey data and analysis. The most characteristic drill cuttings were isolated and illustrated on a lithologic log, Fig. 6.

A full suite of geophysical logs was completed, which fully confirmed the presence of a multi-zone reservoir in the section, corresponding to upper and middle Triassic formations, Fig. 7. These results demonstrated the predictive accuracy of DDT technology in determining the boundaries of productive hydrocarbon-bearing horizons, and determining the contours of anomalies, which directly indicate hydrocarbon deposits.

CONCLUSIONS

The drilling of Well No. 42 allowed conclusions to be drawn about using DDT to identify prospective anomalies:

  1. High accuracy for discovery of hydrocarbon deposits. The extreme points recommended for drilling the first wells are productive, with a probability of no less than 90% to 95%.
  2. The error in determining the depth boundaries of the identified productive horizons, based on practical experience, does not exceed 5% to 7%. In the present case, it was not more than 1%.
  3. The low cost, shorter turnaround, and high convergence of survey results with actual data make it possible to confidently plan for the earliest possible opening of new fields, thereby increasing production indices.
Fig. 7. A geophysical log confirmed the presence of multiple pay zones.

After final reports of the survey results were produced, a follow-up conference with the subcontractor and geologists working in the fields concluded that all hydrocarbon anomalies identified by DDT were in existing productive levels or on levels with potential commercial deposits.

Geologists acknowledged that in the area of the DDT surveys, there were different types of tectonic disruptions, which where accurately identified in the reports. The operator and subcontractor both agreed on the need to further modify drilling plans, saving several million dollars, with an additional drilling campaign commencing in 2018.

Operator’s perspective. Mr. Baipakov, director for geology and field development, Mangistaumunaigaz, commented: “Maps of anomalies compiled using the DDT surveys made it possible to identify the most promising sites, based on the level of oil saturation of prospective formations. One well was drilled, based on the data, which did encounter a productive horizon in a predicted interval between 3,500 to 3,900 m.”

 

 

After running logs, it was determined the productive interval was situated between 3,444 to 3,902 m. The error predicting the depth of productive strata was just 56 m, with respect to the formation top, and 2 m with respect to the stratum bottom.

The operator’s management team indicated that the predicted formation top/bottom was acceptable for determining the spatial boundaries and depth of horizons.

Due to this success, JSC Mangistaumunaigaz will be drilling two additional deep test wells on six other DDT high-intensity anomalies. wo-box_blue.gif

Acknowledgements

OGD thanks Mr. U. S. Karabalin, board member of KazMunayGas National Co. and Mr. B. A. Imanbaev, general director of JSC Mangistaumunaigaz for their trust and understanding in the course of this experimental hydrocarbon demonstration project.

About the Authors
Jim Combs
Oil and Gas Discoverer, LLC
Jim Combs is chief geophysicist at Oil and Gas Discoverer, LLC. Dr. Combs has been with the company since 2009 and oversees the utilization of DDT. He provides expert geophysical, geological and geochemical analysis, while identifying specialist to address specific issues. Dr. Combs obtained a BS degree in mathematics and geology from Southern Methodist University and a PhD in geophysics from the Massachusetts Institute of Technology.
Jeffery M. Drizin
Oil and Gas Discoverer, LLC
Jeffery M. Drizin is president and CEO of Oil and Gas Discoverer, LLC. He has participated directly in the development of Oil and Gas Discoverer Technology since 2001. Dr. Drizin is the primary technical advisor of the team in charge of detection survey equipment and data collection. Dr. Drizin obtained an MS degree from Riga Polytechnics Institute in Riga, Latvia, and a PhD in quantum physics from Latvian State University.
Oleg Yatsuk
Oil and Gas Discoverer, LLC
Oleg Yatsuk is senior V.P. of Oil and Gas Discoverer, LLC. Dr. Yatsyuk was a principal contributor to the development and application of GeoVision Technology. During the past several years, he has continually designed new generation satellite image processing and state-of-the-art field survey equipment. Dr. Yatsyuk is director of OGD LLC’s laboratory, where data are processed and analyzed before final reports are prepared. Dr. Yatsyuk received a PhD from Moscow Aviation Technology University.
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