Spelling suggestions: "subject:"In site stress""
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Integration of in situ stress measurements in a non-elastic rock mass / L’intégration des mesures de contraintes in situ dans un massif rocheux non élastiqueGomes De Figueiredo, Bruno 10 September 2013 (has links)
Considérons un cas d’étude dans lequel les données produites par différentes techniques ont été obtenues en divers points d’une masse rocheuse où les effets topographiques sont très probablement significatifs. Les mesures ont été effectuées pour la conception du réseau hydroélectrique. Le réseau comprend une conduite hydraulique ainsi qu’une nouvelle centrale souterraine placée à mi-parcours de la conduite et sera principalement creusé dans le granite. Les diverses données ont été intégrées à un modèle continu équivalent afin d’évaluer le champ de contrainte régional et ainsi d’extrapoler les résultats des divers tests au volume de masse rocheuse concerné par le plan hydroélectrique. L'intégration des essais in situ et du modèle permet de déterminer les variations spatiales du champ de contrainte. Il est ainsi possible d’identifier le mécanisme de chargement à l’origine du champ de contrainte mesuré ainsi que le comportement rhéologique à long terme du géomatériel équivalent considéré. / A case study is considered in which data produced by different techniques have been gathered in various locations within a rock mass in which topography effects are most likely significant. Measurements were performed for the design of a re-powering scheme that includes a new hydraulic conduit and an underground cavern that will primarily be excavated in granite. An integrated approach for extrapolating the results from the various in situ tests to the rock mass volume of interest for the hydroelectric power scheme is presented. This approach includes the development of an equivalent continuum mechanics model. The integration of in situ tests and numerical modelling enables to determine the stress spatial variation which helps ascertain the loading mechanism at the origin of the measured stress field as well as the long-term rheological behavior of the equivalent geomaterial under consideration.
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Anelastic Strain Recovery Method for In-situ Stress Measurements: A novel analysis procedure based on Bayesian statistical modeling and application to active fault drilling / 非弾性ひずみ回復測定法による原位置応力測定の高度化研究:べイズ統計モデリングに基づく新規解析手法の構築と活断層掘削への適用Sugimoto, Tatsuhiro 23 March 2021 (has links)
京都大学 / 新制・課程博士 / 博士(工学) / 甲第23176号 / 工博第4820号 / 新制||工||1753(附属図書館) / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 林 為人, 教授 福山 英一, 准教授 村田 澄彦 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM
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Modelling assisted Hydraulic Stimulation Design for Bioleaching at Copper bearing Sandstone FormationYildizdag, Kemal 11 February 2022 (has links)
The aim of the EU BIOMOre Project is to investigate the potential to extract copper from Sandstone formations in the North-Sudetic Trough which lies along the border between Poland and Germany. A new mining concept called bioleaching shall be applied in thin and very low permeable copper mineralization zones (order of 0.2 mD). Briefly, bioleaching process is the injection of a lixiviant (sulphur acid containing ferric iron) and then extraction of a pregnant leach solution through boreholes at the ground surface. This concept requires another special technique which is called hydraulic stimulation. Cracks along a wellbore are generated by pumping large quantity of fluid under high pressure into a cased section of rock during a hydraulic stimulation.
This work at hand focuses on the geotechnical methods and scientific-engineering approaches used for extracting copper from very thin mineralization zones. The geological setting with faults and in situ stress state of the exploration zone is generated using measurements, visualised by 3D CAD model (RHINO), and computed via the Discrete Element code 3DEC. The preliminary drilling (stacked dual lateral wellbore) and stimulation design (plug-and-perf completion) are selected based on comprehensive literature survey and industry-based consultancy. In order to calibrate the calculated stress state in 3D, candidate sites for the hypothetical drilling-stimulation are detected using 2D GIS map (QGIS) at CAD model (RHINO). Trend of calculated stresses is in good agreement with the measured ones (σH > σv > σh). The final decision of selecting a drilling-stimulation site is made by using both GIS map and 3D CAD model. A hypothetical drilling-stimulation can be performed up to the depth of 1564 m in the Rotliegend & Grauliegend Sandstone with shale, which is overlain by (Zechstein) Limestone. During a possible stimulation, limestone’s integrity as a caprock and as a stress barrier is of great importance in addition to connect two lateral wellbores for facilitating flow of lixiviant.
The preliminary geometrical design of stimulation is set with the cluster spacing (distance between fractures) of 20 m. Subsequent to final cost estimation of selected preliminary drilling-stimulation design, it is decided to use pinpoint (1,200,000 Euro) instead of plug-and-perf completion (2,345,300 Euro) since it is more economical. A possible drilling operation is anticipated to cost approximately 9,000,000 Euro. The 3D in situ stress model is calibrated before transferring of stress state into the sub-model which is used to optimise the selected stimulation design. The results of the last (DEM) sub-model are employed to reduce costs, to enhance the connection between branches of wellbores for bioleaching and to hinder possible penetration of fractures into the caprock. The preliminary geometrical design of stimulation is then modified based on these calculation results while increasing the cluster spacing from 20 m to 40 m. This is performed due to high stress-shadows (alteration of the stresses between fractures in a stimulation) encountered at the preliminary calculations. Results showed that, after the 80 seconds injection duration of water with 0.16 m3/sec into the sandstone, two wellbore laterals are expected to be connected by three generated cracks. They exhibit average aperture and transmissivity of 4.1 mm and 5.8 . 10-8 m2/sec, respectively. Furthermore, fracture initiation pressure ranges between 30 – 35 MPa at the drilling depth.
The conclusions can be drawn that through the assessment of 3D CAD, GIS, and numerical DEM modelling methods, approximately 49% of cost reduction can be achieved by employing pinpoint instead of plug-and-perf completion. That is an important proof of the systematically approach for a stimulation planning wherein all necessary phases such as in situ stress estimation, modelling and cost assessment should have been considered. This work can be considered as a milestone for studies of stimulation designs which has been newly initiated in the EU-Region as a promising method for efficiency considering unconventional ore extraction. Moreover, this dissertation revealed again the emerging importance of integrated geotechnical information systems analogous to BIM (Building Information Systems).:LIST OF FIGURES
LIST OF TABLES
NOMENCLATURE
ABSTRACT
ZUSAMMENFASSUNG
ACKNOWLEDGEMENTS
1. OUTLINE AND OBJECTIVE OF THE DISSERTATION
2. STATE OF THE ART
2.1. INTRODUCTION TO STIMULATION TECHNOLOGIES, EQUIPMENT AND DESIGNS
2.1.1. Technical instruments and frac-materials
2.1.2. Wellbore completion designs
2.1.3. Location and orientation of a wellbore
2.1.4. Fracture placement designs
2.1.5. Summary and conclusions
2.2. MEASUREMENT AND MODELLING OF UNDERGROUND STRESS FIELD
3. DETERMINATION AND MODELLING OF IN SITU STRESS FIELD IN THE NORTH SUDETIC TROUGH
3.1. GEOLOGICAL SETTING OF THE MODELLED REGION
3.2. SIMULATION OF THE IN SITU STRESS FIELD
3.2.1. Determination of the stress regime by measurements
3.2.2. Stepwise procedure of the stress field modelling
3D CAD assisted structural model of geological setting
3D DEM model for stress field simulations
2D GIS maps used for detection of drilling-stimulation sites
4. DRILLING AND WELLBORE DESIGN CALCULATIONS WITH COST ESTIMATION
4.1. DESIGN CALCULATIONS AND TECHNICAL REQUIREMENTS OF DRILLING AND WELLBORE
4.2. ECONOMICAL EVALUATION OF THE SELECTED DRILLING AND WELLBORE DESIGN
5. MODELLING OF THE HYDRAULIC STIMULATION AT THE SELECTED DRILLING SITE IN SANDSTONE
5.1. FINAL CALIBRATION OF THE 3D STRESS FIELD MODELS
5.2. DISCRETE ELEMENT MODELLING OF THE STIMULATION DESIGN AT THE SELECTED DRILLING SITE
5.3. DESIGN OPTIMIZATION STUDY OF THE STIMULATION MODEL AND FINAL COST ESTIMATION
6. SUMMARY AND CONCLUSIONS
REFERENCES
APPENDIX-A
APPENDIX-B
APPENDIX-C
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