Tengiz Oil Field Research Articles

Optimization of Targeted Differential Interferometric Measurements for Wellpads Detected by Mask Region-Based Convolutional Neural Network in the Tengiz Oilfield of the Caspian Sea Coast

Many previous studies have primarily focused on the use of deep learning for interferometric processing or separate recognition purposes rather than targeted measurements of detected wellpads. The present study centered around the integration of deep learning recognition and interferometric measurements for Tengiz oilfield wellpads. This study proposes the optimization, automation, and acceleration of targeted ground deformation wellpad monitoring. Mask Region-based Convolutional Neural Network (R-CNN)-based deep learning wellpad recognition and consequent Small Baseline Subset Synthetic Aperture Radar Interferometry (SBAS-InSAR) analyses were used for the assessment of ground deformation in the wellpads. The Mask R-CNN technique allowed us to detect 159 wells with a confidence level of more than 95%. The Mask R-CNN model achieved a precision value of 0.71 and a recall value of 0.91. SBAS-InSAR interferometric measurements identified 13 wells for Sentinel-1 (SNT1), 8 wells for COSMO-SkyMed (CSK), and 20 wells for TerraSAR-X (TSX) located within the −54–−40 mm/y class of vertical displacement (VD) velocity. Regression analyses for the annual deformation velocities and cumulative displacements (CD) of wells derived from SNT1, CSK, and TSX satellite missions showed a good agreement with R2 > 95. The predictions for cumulative displacements showed that the vertical subsidence processes will continue and reach −339 mm on 31 December 2023, with increasing spatial coverage and the potential to impact a higher number of wells. The hydrological analyses in the Tengiz oilfield clearly demonstrated that water flow has been moving towards the detected hotspot of subsidence and that its accumulation will increase with increasing subsidence. This detected subsidence hotspot was observed at a crossing with a seismic fault that might always be subject to reactivation. The role of this seismic fault should also be investigated as one of the ground deformation-controlling factors, even though this area is not considered seismically active. The primary practical and scientific values of these studies were identified for the operational risk assessment and maintenance needs of oilfield and gas field operators.

Deformation Retrievals for North America and Eurasia from Sentinel-1 DInSAR: Big Data Approach, Processing Methodology and Challenges

A fully automated processing system for measuring long-term ground deformation time series and deformation rates frame-by-frame using DInSAR processing technique was developed at the Canada Center for Remote Sensing. Ground deformation rates from 2017 to 2023 were computed over a large territory of North America and Eurasia from more than 220,000 readily available Sentinel-1 images, and the performance and shortcomings of the developed processing system were analyzed. Here, we present the processing methodology and several examples of deformation rate maps and time series produced with this automated system. Examples include the deformation of slow- moving deep-seated landslides in two regions of Canada, subsidence at the Komsomolskoe oil field in the Russian Arctic, the Tengiz oil field in Kazakhstan, multiple large subsiding regions and landslides in northwestern Iran, and two large subsiding regions in the Yellow River Delta and Xinjiang, China. Many deformation processes observed in these deformation rate maps, including large landslides, have previously been unknown to the research community. Systematic radar penetration depth changes were observed in multiple regions and were investigate in detail for 1 Eurasian region. Computed deformation rates for North America and Eurasia are available to the research community and can be downloaded from the data repository.

Application of Q-FWI-tomography and least-squares migration to improve seismic resolution in Tengiz oil field

Seismic image deterioration is a major problem for structures under complex overburdens. In areas under major faults and salt bodies, it is common to observe amplitude washout zones, poor structural definition, and relatively strong coherent and incoherent seismic noise. We developed a data-driven workflow of Q least-squares migration to mitigate these problems by enhancing the horizontal and vertical resolutions of seismic images. The workflow includes accurate velocity model building with joint full-waveform inversion and tomography to maximize the stacking power of P-wave primaries, Q tomography that balances weak-amplitude washout zones and minimizes swing noises, and least-squares migration with the aid of a constraint map that yields higher-resolution structural images. Its application on a wide-azimuth data set from the Tengiz oil field demonstrates the effective mitigation of fault shadow issues with an overall improvement of image quality. In addition, the uplift in focusing of diffracted energies shows promising improvements in enhancing seismic mega-amplitude events. Thus, the proposed method greatly increases the fidelity of seismic attribute analysis when compared with conventional vintage processing.

Quantifying Two-Dimensional Surface Displacements Using High-Resolution Cosmo-SkyMed, TerraSAR-X and Medium-Resolution Sentinel-1 SAR Interferometry: Case Study for the Tengiz Oilfield.

The present study was aimed at comparing vertical and horizontal surface displacements derived from the Cosmo-SkyMED, TerraSAR-X and Sentinel-1 satellite missions for the detection of oil extraction-induced subsidence in the Tengiz oilfield during 2018–2021. The vertical and horizontal surface displacements were derived using the 2D decomposition of line-of-sight measurements from three satellite missions. Since the TerraSAR-X mission was only available from an ascending track, it was successfully decomposed by combining it with the Cosmo-SkyMED descending track. Vertical displacement velocities derived from 2D Decomposition showed a good agreement in similar ground motion patterns and an average regression coefficient of 0.98. The maximum average vertical subsidence obtained from the three satellite missions was observed to be −57 mm/year. Higher variations and deviations were observed for horizontal displacement velocities in terms of similar ground motion patterns and an average regression coefficient of 0.80. Fifteen wells and three facilities were observed to be located within the subsidence range between −55.6 mm/year and −42 mm/year. The spatial analyses in the present studies allowed us to suspect that the subsidence processes occurring in the Tengiz oilfield are controlled not solely by oil production activities since it was clearly observed from the detected horizontal movements. The natural tectonic factors related to two seismic faults crossing the oilfield, and terrain characteristics forming water flow towards the detected subsidence hotspot, should also be considered as ground deformation accelerating factors. The novelty of the present research for Kazakhstan’s Tengiz oilfield is based on the cross-validation of vertical and horizontal surface displacement measurements derived from three radar satellite missions, 2D Decomposition of Cosmo-SkyMED descending and TerraSAR-X ascending line-of-sight measurements and spatial analysis of man-made and natural factors triggering subsidence processes.

Impact of the Tengiz Oil Field on the State of Land Cover

Abstract The study of the transformation of natural complexes in areas with a developed infrastructure for oil subsurface use is a prerequisite condition for solving the environmental problems of oil-producing regions. Located in the territory of the Atyrau Region in Western Kazakhstan, the Tengiz oil field is one of the largest oil fields in the world. The field has been under intensive development for more than 40 years and is characterised by a large volume of anthropogenic load, which contributes to a significant transformation of the landscape complex. The purpose of this study is to investigate the dynamics of landscape changes in the territory of the Tengiz field and to assess its ecological condition. Based on the materials from many years of research, the features of the Tengiz field and the main technogenic sources affecting the landscape complex were identified. Several quantitative indicators characterising the anthropogenic load were calculated based on satellite images. On the basis of Landsat – 5 TM, 7 ETM+ and 8 OLI and Sentinel-2A (S2A) data, the vegetation index of land cover was calculated using normalised difference vegetation index (NDVI), demonstrating the dynamics of landscape changes in the period from 1990 to 2020. The obtained results show that the areas of some landscape components continue to deteriorate. For example, the area of open soil in 2020 decreased due to the withdrawal of these areas for industrial facilities, which increased by 2.2 times by 2020 due to intensive field development. This study demonstrates the importance of monitoring and studying desert landscape complexes under active anthropogenic impact to ensure the sustainable development of territories.

Multi-Temporal SAR Interferometry for Vertical Displacement Monitoring from Space of Tengiz Oil Reservoir Using SENTINEL-1 and COSMO-SKYMED Satellite Missions

This study focused on the quantitative assessment of the vertical displacement velocities retrieved using Sentinel-1 and Cosmo-SkyMed synthetic aperture radar images for the Tengiz oilfield. Tengiz oilfield was selected as a study area because of its historically reported continuous subsidence and limited up-to-date studies during recent years. The small baseline subset time-series technique was used for the interferometric processing of radar images acquired for the period of 2018–2020. The geospatial and statistical analyses allowed to determine the existing hotspots of the subsidence processes induced by oil extraction in the study area. Ground deformation measurements derived from the Sentinel-1 and COSMO-SkyMed satellite missions showed that the Tengiz oilfield continuously subsided during 2018–2020 with the maximum annual vertical displacement velocity around −77.4 mm/y and −71.5 mm/y, respectively. The vertical displacement velocities derived from the Sentinel-1 and the COSMO-SkyMed images showed a good statistical relationship with R2≥0.73 and RMSE ≤3.68 mm. The cumulative vertical displacement derived from both satellites for the most subsiding location also showed a good statistical relationship with R2 equal to 0.97 and RMSE = ± 4.69. The observed relative differences of measurements by both satellites were acceptable to determine the ongoing vertical surface displacement processes in the study area. These studies demonstrated a practical novelty for the petroleum industry in terms of the comparative assessment of surface displacement measurements using time-series of medium-resolution Sentinel-1 and high-resolution COSMO-SkyMed radar images.

Caspian Oil and Gas Leverages Strengths To Survive in a Low-Carbon World

Nearly 30 years ago as the Soviet Union lay in tatters, Azerbaijan and Kazakhstan signed off on the Caspian’s first oil and gas megaprojects, hoping to guarantee their independence by transforming the region’s energy landscape and their role in it. Nursultan Nazarbayev, then president of Kazakhstan, took the first step in April 1993 by creating Tengizchevroil (TCO), a joint venture between Chevron and Kazakh state oil company KazMunaiGaz, to develop the super-giant Tengiz oil field and nearby Korolev field. Today, Chevron still holds 50% of the venture, ExxonMobil controls 25%, KazMunaiGaz, 20%, and LukArco, a subsidiary of Russia’s Lukoil, 5%. A year and a half later, in September 1994, Azerbaijan’s president, the late Heydar Aliyev, signed a production-sharing agreement (PSA) to develop the deepwater reserves of the Azeri, Chirag, and Gunashli (ACG) fields, attracting the participation of a “who’s who” of the world’s oil and gas elite—13 global companies representing eight countries. These and other signings had a knock-on effect as more upstream megaprojects popped up across the region in the late 1990s and throughout the early 2000s, attracting more international participation and the need to develop midstream infrastructure such as Azerbaijan’s Baku-Tbilisi-Ceyhan pipeline (BTC) export line to Turkey and Kazakhstan’s Caspian Pipeline Consortium (CPC) to Russia’s oil export terminal at Novorossiysk, as landlocked Central Asia devised ways to get its crude oil to market. For a generation, the Caspian’s top-heavy “bigger is better” way of doing things, led by global majors, did a good job of attracting upstream investment. But what about the next generation as those same supermajors rebrand and shift their portfolios to produce more energy with less carbon? Ashley Sherman, research director at Wood Mackenzie for upstream oil and gas, predicted in June that Caspian oil and gas production will continue to grow in this decade as already-committed oil and gas investments percolate through the system (Fig. 1). These investments, however, target expansion and optimization of existing operations. Thus, by 2030, upstream capital expenditures are likely to be at only half of their 2019 levels, Sherman wrote. BP and Socar’s (the state oil company of the Azerbaijan Republic) deepwater Shafag Asiman discovery in Azerbaijan may be an exception, but while a first exploration well drilled and completed in March detected gas condensate, the well was suspended pending further evaluation and possible drilling of a sidetrack appraisal well, BP said in a news release. The block lies 125 km (78 miles) southeast of Baku in an unexplored area in 650-to-800 m water depths. It is likely that tomorrow’s Caspian upstream will look a lot like today’s Caspian upstream, which is dominated by five projects: the onshore Tengizchevroil and Karachaganak projects in Kazakhstan; shallow-water offshore Kashagan, also in Kazakhstan; and Azerbaijan’s offshore deepwater ACG and the Shah Deniz gas field. While each of these projects elicits a definite “wow” factor in terms of sheer size, it is worth noting that the PSAs on which most of the projects are based will expire in the 2030s, though some remain in effect into the 2040s.

Quantitative Assessment of Vertical and Horizontal Deformations Derived by 3D and 2D Decompositions of InSAR Line-of-Sight Measurements to Supplement Industry Surveillance Programs in the Tengiz Oilfield (Kazakhstan)

This research focused on the quantitative assessment of the surface deformation velocities and rates and their natural and man-made controlling factors at Tengiz Oilfield in Kazakhstan using the Small Baseline Subset remote sensing technique followed by 3D and 2D decompositions and cosine corrections to derive vertical and horizontal movements from line-of-sight (LOS) measurements. In the present research we applied time-series of Sentinel-1 satellite images acquired during 2018–2020. All ground deformation derivatives showed the continuous subsidence at the Tengiz oilfield with increasing velocity. 3D and 2D decompositions of LOS measurements to vertical movement showed that the Tengiz Oil Field 2018–2020 continuously subsided with the maximum annual vertical deformation velocity around 70 mm. Based on the LOS measurements, the maximum annual subsiding velocity was observed to be 60 mm. Cosine corrections of LOS measurements to vertical movement, however, revealed a maximum annual vertical deformation velocity of 77 mm. The vertical deformation confirmed typical patterns of subsidence caused by oil extraction. Detected east-west and north-south horizontal movements at the Tengiz field clearly indicated that the study area crossed by seismic faults is affected by natural tectonic processes. The overall RMSE of 3D decomposed vertical deformation in relationship to LOS measurements and cosine corrections were in the range of 10–13 mm and 6–8 mm, correspondingly. The results of the present research will support operators of oil and gas fields and also other types of infrastructure to evaluate the actual differences of InSAR ground deformation measurements against the required standards and the precision of measurements depending on the operational needs, timeframes and availability of radar imagery.

Application of Titanium Alloy and Titanium-Based Coatings in a Gate Valve during Oil Production

In the Caspian region, the Tengiz oil field has a high content of sulfur, salts and mechanical impurities, which contribute to the rapid deterioration of equipment. The use of titanium alloy allows reducing corrosion wear 2-3 times. Based on the analysis of the design of the slide gate valve, the most exposed parts were identified, which were replaced by Grade 5 titanium alloy. Bench tests of the slide gate valve were put into operation. Laboratory work was carried out to apply titanium-based coatings to steel samples. The result was a structure with a microhardness of 730-810 HV sufficient to protect it against corrosion wear.

Simulation of geodynamic processes

To select an optimal and environmentally friendly technology for oil and gas development, it is necessary to estimate in advance the likely disfigurement processes of the surface terrain. To this end, it is recommended to develop predictive geodynamic models prior to start of field development, taking into consideration the geological characteristics and tectonic activity of the area under investigation, as well as the specific features of the reservoir. Research methods. In this paper, two models of subsidence of the ground surface in a hydrocarbon field are considered: a parametric spatial model developed at Delft University of Technology and a model based on the Knote influence function developed at the Canadian Center for Geodetic Engineering. The first method is more suitable for describing a smooth and gradual subsidence in deep gas reservoirs and allows you to assess the spatial-temporal pattern of movement of the ground surface. In the second method, geodynamic processes are modeled based on the functional relationship between reservoir compaction and subsidence of the day surface, taking into account the location of the oil reservoir, physical and mechanical properties of rocks, changes in reservoir pressure and the results of surface disfigurement monitoring and is recommended for oil fields. Research results. A comparative analysis of these methods is carried out on the example of the Tengiz oil and gas field in Western Kazakhstan. An evaluation of the developed model accuracy is carried out by comparing the calculated values ​​of soil subsidence with the data of radar interferometry, and estimates obtained by other researchers. Recommendations are given on the application of the considered methods in the generation of predictive models of oil and gas fields, the necessity of calculating the transfer coefficient of the reservoir compaction to the position of the day surface, taking into account the depth of the reservoir and the physical and mechanical properties of the rock massif, is indicated.

Moniliella spathulata, an oil-degrading yeast, which promotes growth of barley in oil-polluted soil

The yeast strain Moniliella spathulata SBUG-Y 2180 was isolated from oil-contaminated soil at the Tengiz oil field in the Atyrau region of Kazakhstan on the basis of its unique ability to use crude oil and its components as the sole carbon and energy source. This yeast used a large number of hydrocarbons as substrates (more than 150), including n-alkanes with chain lengths ranging from C10 to C32, monomethyl- and monoethyl-substituted alkanes (C9–C23), and n-alkylcyclo alkanes with alkyl chain lengths from 3 to 24 carbon atoms as well as substituted monoaromatic and diaromatic hydrocarbons. Metabolism of this huge range of hydrocarbon substrates produced a very large number of aliphatic, alicyclic, and aromatic acids. Fifty-one of these were identified by GC/MS analyses. This is the first report of the degradation and formation of such a large number of compounds by a yeast. Inoculation of barley seeds with M. spathulata SBUG-Y 2180 had a positive effect on shoot and root development of plants grown in oil-contaminated sand, pointing toward potential applications of the yeast in bioremediation of polluted soils.Key points• Moniliella spathulata an oil-degrading yeast• Increase of the growth of barley

Delineating ground deformation over the Tengiz oil field, Kazakhstan, using the Intermittent SBAS (ISBAS) DInSAR algorithm

Changes in subsurface pore pressures and stresses due to the extraction of hydrocarbons often cause deformation over oil and gas fields. This can have significant consequences, including ground subsidence, induced seismicity and well failures. Geodynamic monitoring is an important requirement in recognising potential threats in sufficient time for remedial measures to be implemented. Differential interferometric synthetic aperture radar (DInSAR) is increasingly utilised for monitoring ground deformation over oil and gas reservoirs, achieving greater spatial coverage than traditional field-based surveying techniques. However, ground deformation over oil and gas fields can extend regionally into the surrounding rural landscape, where many conventional DInSAR techniques are of limited use due to the dynamic nature of the land cover. The Intermittent Small Baseline Subset (ISBAS) method is an advanced DInSAR technique, which considers the intermittent nature of coherence over dynamic land cover types to obtain markedly more ground motion measurements in non-urban regions. In this study, the ISBAS technique is used to delineate deformation over the super-giant Tengiz oil field in rural Kazakhstan. Analysis of ENVISAT data for 2004–2009 reveals a well-defined bowl subsiding with a maximum rate of −15.7 mm/year, corroborated by independent DInSAR studies and traditional levelling data. Subsequent application of ISBAS to Sentinel-1 data reveals significant evolution of deformation over the field in 2016–2017, with subsidence increasing dramatically to a maximum of -79.3 mm/year. The increased density of measurements obtained using the ISBAS technique enables accurate and comprehensive delineation and characterisation of ground deformation in this rural landscape, without the need for corner reflectors. This enhanced information could ultimately aid reservoir characterisation and management, and improve understanding of the risk posed by ground subsidence and fault reactivation.

Numerical simulation of an oil–gas fire: A case study of a technological accident at Tengiz oilfield, Kazakhstan (June 1985–July 1986)

A gusher from accident well 37 at the Tengiz oilfield (Kazakhstan) led to a catastrophic fire and produced melt combustion metamorphic rocks in its thermal halo (aureole). According to the obtained data on the mineralogy and petrology of the combustion metamorphic rocks and inferred thermal conditions of metamorphism, the protolith sand and clay can become fully molten at a temperature no lower than 1200℃. Four models have been tested for the thermal effect of the Tengiz fire on the country rocks: (a) a single straight-flow vertical gas flare, (b) a single vertical gas flare with oil droplets, (c) a single oil–gas flare with lateral wind load, and (d) a composite oil–gas flare consisting of one vertical and two horizontal spouts. Modeling with SigmaFlow software takes into account the spatial turbulent airflow mechanics of the flare, convective, and radiative heat transfer, burning of gas and oil droplets, as well as conductive heat flux in soil. Model 4 simulates the best the Tengiz fire in the period from 26 June 1985 to 05 September 1986. As the model predicts, a flare with the parameters as in the Tengiz case can cause partial melting of sedimentary material (1100℃) in a local zone but cannot maintain its bulk melting which requires higher temperatures (1200–1400℃). Additional heat may have come from ignition of oil spilled over the surface. The heat from a single oil–gas flare from a wellhead with a 0.5-m stickup turns out to be insufficient for combustion metamorphism ( T = 1000–1400℃).

Мұнай кен орындарының картографиялануын геодезиялық қамтамасыз ету (Теңіз мұнай кен орны мысалында)

Мұнай кен орындарының картографиялануын геодезиялық қамтамасыз ету (Теңіз мұнай кен орны мысалында)

Best Practices in Testing and Analyzing Multilayer Reservoirs

This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper SPE 132596, ’Best Practices in Testing and Analyzing Multilayer Reservoirs,’ by Yan Pan, SPE, Chevron Energy Technology Company, and Michael Sullivan and David Belanger, SPE, Tengizchevroil, prepared for the 2010 SPE Western Regional Meeting, Anaheim, California, 27-29 May. The paper has not been peer reviewed. Layered formations are the norm rather than the exception among oil and gas reservoirs. Knowing individual-layer properties is important for development strategies, especially for secondary recovery. A set of best practices was established in the design, execution, and analysis of multilayer pressure-transient tests in the Tengiz oil field in western Kazakhstan. Use of multilayer testing and analysis techniques provided a lower level of uncertainty in layered-reservoir characterization than can be obtained with a simpler commingled-pressure-transient test alone. Introduction Formations in the platform area of Tengiz consist of multiple zones with different reservoir pressures. Therefore, crossflow often occurs during shut-in periods. In some cases, the effect from different layer pressures and skin distributions could result in 100% difference in individual-layer permeability estimations. To reduce uncertainty, the selective-inflow-performance (SIP) production-logging technique is used to measure the bottomhole pressures and flow contributions of individual layers during a commingled-pressure-transient test. Pulsed-neutron-capture (PNC) logs are used to gain information about stimulation effectiveness (skin) in each zone. Then, a robust step-by-step analysis method that uses all data and information is applied to obtain individual-layer properties. The best practices for use of this methodology and the associated uncertainty are detailed in the full-length paper. The challenge in characterizing layered reservoirs is the large number of unknown parameters. The approach described in the paper resolves enough of these unknowns in a systematic fashion for a more direct solution to be obtained, with a resulting lower uncertainty. Tengiz Field The central platform of the Tengiz carbonate reservoir is dominated by matrix porosity. The surrounding rim and flank regions exhibit evidence of fracture networks. Three major zones contribute to oil production. The upper reservoir units have been produced for a longer period of time and, therefore, are more depleted. All Tengiz wells are essentially vertical and are producing single-phase oil with flowing bottomhole pressure above the bubblepoint, which provides good conditions for production-log profiling. Because most wells produce no water, the connate water has low salinity, and irreducible water saturation is approximately 10%, elevated chlorine-concentration levels remained in the near-wellbore region of the formation after acid stimulation, which increased the chance for a PNC log to detect acid effects. Sour-gas injection for miscible flooding began in late 2007 in the central-platform area. Understanding individual-zone formation properties was important in the success of the hydrocarbon-miscible flood.

Tengiz oilfield: geological model based on hydrodynamic data

The Tengiz oilfield, in the Precaspian Basin, western Kazakhstan, was discovered in 1981, but the size of the field and its large oil reserves were not fully estimated until many years later. Presently, it is known that the oilfield stretches over an area of almost 400 km 2 but the thickness of the productive zone was not recognized untill recently. Formation pressure distribution in the Tengiz carbonate reservoir allows definition of the position of the oil–water contact. Reservoir characterization and hydrodynamic data are the basis for a dynamic model of the Tengiz oil accumulation which reflects the reservoir architecture, filling history of the reservoir and distribution of productive zones.

Tengiz Oil Field, Kazakstan: A Carbonate Platform and Supergiant Field: ABSTRACT

Tengiz Oil Field, Kazakstan: A Carbonate Platform and Supergiant Field: ABSTRACT

A prototype for pipeline routing using remotely sensed data and geographic information system analysis

A prototype least cost analysis was performed for pipeline routing using remotely sensed data and GIS analysis. A small section of the proposed Caspian oil pipeline was chosen for development of the prototype. The entire proposed 700-km Caspian pipeline would connect with existing pipelines and carry oil from the Tengiz oil field in Kazakhstan, on the Caspian Sea, to Novorossiysk in Russia, on the Black Sea. A model was developed incorporating pipeline length, topography, geology, land use, and stream, wetland, road, and railroad crossings to identify a least cost pathway. Satellite remote sensing imagery was used as a base to display results and to define the land cover. Geographic Information System (GIS) analysis was used for spatial modeling and data overlay. Costs associated with terrain conditions, geology, and land use were calculated from actual costs on a recent Bechtel pipeline project. The length and cost associated with a straight line path between four predetermined points along a section of the pipeline were compared with the length and cost of the least cost pathway. The straight line path was 42 km long, and the least cost pathway was 51 km long. Although longer in length, the least cost pathway (in the area considered) is 14% less expensive to construct than the straight line path. The least cost pathway realizes savings principally by avoiding higher cost urban and industrial cells on the straight line route. The results of this analysis demonstrate the benefits of integrating remotely sensed data with GIS analysis as a first look for pipeline routing.

Porosity Determination in the Tengiz Oil Field, Kazakhstan: ABSTRACT

Porosity Determination in the Tengiz Oil Field, Kazakhstan: ABSTRACT

The Tengiz Oil Field, Pri-Caspian Basin, USSR, A Super Giant of the '80s: ABSTRACT

The Tengiz Oil Field, Pri-Caspian Basin, USSR, A Super Giant of the '80s: ABSTRACT