Muutke küpsiste eelistusi

Volcanic Gas Reservoir Characterization [Pehme köide]

(Senior Geologis), , (Senior Well Logging Engineer, PetroChina), , (Professor and Director, National Energy Tight Oil and Gas Research and Development Centre of the Research Institute for Petroleum Exploration and Development (RIPED), China)
  • Formaat: Paperback / softback, 604 pages, kõrgus x laius: 235x191 mm, kaal: 890 g, Approx. 578 illustrations (578 in full color); Illustrations
  • Ilmumisaeg: 15-May-2014
  • Kirjastus: Gulf Professional Publishing
  • ISBN-10: 0124171311
  • ISBN-13: 9780124171312
Teised raamatud teemal:
Volcanic Gas Reservoir CharacterizationSuurem pilt
  • Formaat: Paperback / softback, 604 pages, kõrgus x laius: 235x191 mm, kaal: 890 g, Approx. 578 illustrations (578 in full color); Illustrations
  • Ilmumisaeg: 15-May-2014
  • Kirjastus: Gulf Professional Publishing
  • ISBN-10: 0124171311
  • ISBN-13: 9780124171312
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780124171312.html
Märksõnad:
"This introduction chapter summarizes our current understandings of volcanic gas reservoirs worldwide and in China. The challenges and their innovative technical solutions presented in this book, as well as the significance of gas reservoir characterization, are summarized based on the authors' real case studies in Chinese volcanic gas fields during the last decade. A flow chart representing the research concepts and approaches that deal with specific difficulties in volcanic gas reservoir characterization provides the readers with an outline of this book"--

Volcanic gas reservoirs are the new natural gas frontier. Once thought too complex, too harsh on the drilling bit, and too difficult to characterize, reservoir engineers and petroleum geologists alike now manage more advanced seismic and logging tools, making these "impossible" field developments possible. Bridging meaningful information about these complicated provinces and linking various unconventional methods and techniques, Volcanic Gas Reservoir Characterization:

  • Describes a set of leading-edge integrated volcanic gas reservoir characterization techniques, helping to ensure the effective development of the field
  • Reveals the grade and relationship of volcanic stratigraphic sequence
  • Presents field identification and prediction methods, and interpretation technology of reservoir parameters, relating these to similar complex fields such as shale

These innovative approaches and creative methods have been successfully applied to actual development of volcanic gas reservoirs. By sharing the methods and techniques used in this region with reservoir engineers and petroleum geologists all over the world, those with better understanding of these unconventional basins will begin to consider volcanic rock like any other reservoir.

  • Summarizes the research and explains detailed case studies of volcanic gas reservoir developments, showing the latest achievements and lessons learned
  • Supplies knowledge on volcanic gas reservoir basins to provide meaningful insight into similar complex reservoirs such as shale, coal bed methane, and heavy oil basins
  • Contains extensive methodology, strong practicality and high innovation, making this an ideal book for both the practicing and seasoned reservoir engineer and petroleum geologists working with complex reservoirs

Arvustused

--This book "will play an important role in effective development of volcanic gas reservoirs, and will serve as an important reference for the development of similar complicated gas reservoirs." Prof. Guo Shangping, Academician of CAS (Chinese Academy of Sciences)

--This book is "of great value to the characterization and exploitation of volcanic gas reservoir and will catch the attention of the petroleum geologists and oil/gas reservoir engineers from all over the world." Qiu Yinan, renowned petroleum geologist

Muu info

Make complex reservoir formations viable with this must-have reference guide
Foreword xiii
Preface I xv
Preface II xvii
Capsule summary xix
Chapter 1 Introduction
1(14)
1.1 Current status and significance of volcanic gas reservoir development
1(2)
1.1.1 Resources of volcanic gas reservoirs and development status in the world
1(1)
1.1.2 Resources and development status of volcanic gas reservoirs in China
2(1)
1.1.3 Significance of volcanic gas reservoir development
2(1)
1.2 Geological features of volcanic gas reservoirs and challenges in reservoir characterization
3(5)
1.2.1 Geological features of volcanic gas reservoirs
3(1)
1.2.2 Challenges in volcanic gas reservoir characterization
4(4)
1.3 Significance of volcanic gas reservoir characterization and its technical concept
8(7)
1.3.1 Significance of volcanic gas reservoir characterization
8(1)
1.3.2 Technical concept of volcanic gas reservoir characterization
9(2)
1.3.3 Techniques of volcanic gas reservoir characterization
11(2)
References
13(2)
Chapter 2 Internal Architecture of Volcanic Gas Reservoirs
15(62)
2.1 Concept and levels of volcanic rock internal architecture
15(3)
2.1.1 Concept of volcanic rock internal architecture
15(1)
2.1.2 Levels of volcanic rock internal architecture
15(3)
2.2 Challenges and technical concepts for dissecting volcanic rock internal architecture
18(3)
2.2.1 Challenges in dissecting volcanic rock internal architecture
18(1)
2.2.2 Technical concepts for dissecting volcanic rock internal architecture
19(2)
2.3 Identification and characterization of volcanic rock formation
21(12)
2.3.1 Identification of volcanic rock formation
21(10)
2.3.2 Characterization of volcanic formation
31(2)
2.4 Identification and characterization of a volcanic edifice
33(26)
2.4.1 Volcanic edifice classification
33(3)
2.4.2 Identification of a volcanic edifice
36(16)
2.4.3 Characterization of volcanic edifices
52(7)
2.5 Identification and characterization of a volcanic massif
59(14)
2.5.1 Classification of volcanic massifs
59(1)
2.5.2 Identification of volcanic massifs
59(8)
2.5.3 Characterization of volcanic massifs
67(6)
2.6 Technical applications
73(4)
2.6.1 Providing guidance for a logical division of development layer series
73(1)
2.6.2 Effectively predicting reservoir distribution to construct geological models
73(1)
2.6.3 Providing a basis for an appropriate analysis of gas-water relationship
73(1)
References
74(3)
Chapter 3 Volcanic Rock Sequence Division and Stratigraphic Correlation
77(36)
3.1 Concept and levels of volcanic rock sequence
77(3)
3.1.1 Concept of volcanic rock sequence
77(1)
3.1.2 Levels of volcanic rock sequences
78(2)
3.2 Challenges and technical solutions
80(2)
3.2.1 Challenges
80(1)
3.2.2 Technical solutions
80(2)
3.3 Volcanic rock sequence identification
82(19)
3.3.1 Identification markers
82(12)
3.3.2 Single-well identification
94(2)
3.3.3 Profile identification
96(5)
3.4 Volcanic rock sequence division and stratigraphic correlation
101(12)
3.4.1 Corresponding relationships among volcanic rock sequence, internal architecture, and gas-bearing zone
101(2)
3.4.2 Correlation of volcanic rock sequence
103(1)
3.4.3 Volcanic rock sequence division and stratigraphic correlation
104(7)
References
111(2)
Chapter 4 Identification and Prediction of Volcanic Facies
113(50)
4.1 Classification of volcanic facies
113(5)
4.1.1 Classification of lithofacies
113(1)
4.1.2 Lithofacies models
114(4)
4.2 Research challenges and technical solutions
118(2)
4.2.1 Research challenges
118(1)
4.2.2 Technical solutions
119(1)
4.3 Single-well identification and classification
120(15)
4.3.1 Identification markers
120(10)
4.3.2 Single-well facies identification
130(5)
4.4 Profile identification
135(4)
4.4.1 Seismic response characteristics
135(2)
4.4.2 Profile facies identification
137(2)
4.5 Planar prediction
139(6)
4.5.1 Planar facies prediction based on single-well facies
139(1)
4.5.2 Predicting planar facies patterns based on profile facies
140(1)
4.5.3 Predicting planar facies distribution based on seismic facies
141(4)
4.6 Spatial prediction
145(2)
4.6.1 Profile tracing closure technique
145(1)
4.6.2 Integrative technique for lithofacies analysis by stratigraphic slicing
146(1)
4.6.3 Technique for 3D attribute volume analysis
147(1)
4.7 Characterization of volcanic facies
147(13)
4.7.1 Characterization of volcanic facies geometry (shape)
147(5)
4.7.2 Characterizing volcanic facies size
152(3)
4.7.3 Characterizing superposition relationships of volcanic facies
155(5)
4.8 Technological applications and effects
160(3)
4.8.1 Revealing lithofacies distribution and predicting favorable facies
160(1)
4.8.2 Ascertaining the spatial distribution of lithofacies and providing facies control constraints for geological model building
160(2)
References
162(1)
Chapter 5 Lithological Identification and Prediction of Volcanic Rock
163(40)
5.1 Challenges and solutions
163(3)
5.1.1 Challenges in lithology identification and prediction
163(1)
5.1.2 Technical solutions
164(2)
5.2 Identification of volcanic lithology
166(17)
5.2.1 Identification of volcanic rock composition through ECS logging
166(3)
5.2.2 Identification of volcanic rock texture and structure by imaging log
169(5)
5.2.3 Identification of volcanic rock types by conventional logging
174(6)
5.2.4 Integrated lithological identification
180(3)
5.3 Prediction of volcanic lithological distribution
183(15)
5.3.1 Seismic response characteristics of different lithologies
183(3)
5.3.2 Prediction of lithological distribution through seismic profile analysis
186(3)
5.3.3 Prediction of lithological distribution by seismic waveform classification
189(2)
5.3.4 Prediction of lithological distribution by frequency-divided inversion
191(7)
5.4 Applications
198(5)
5.4.1 Identification of lithology to guide lithofacies delineation in single wells
198(1)
5.4.2 Building reservoir parameter interpretation models for different lithologies to improve parameter interpretation accuracy
198(1)
5.4.3 Providing a lithological basis for the establishment of gas and water layer identification models and to improve the congruence rate of identification
198(3)
5.4.4 Delineating lithological distribution patterns to guide the prediction of favorable reservoir zones
201(1)
References
201(2)
Chapter 6 Identification and Prediction of Fractures in Volcanic Reservoirs
203(70)
6.1 Research challenges and technical solutions
203(3)
6.1.1 Challenges in fracture identification and prediction
203(1)
6.1.2 Research approaches and solutions
204(2)
6.2 Identification of fractures in volcanic reservoirs
206(20)
6.2.1 Identification of fractures based on imaging logs
206(5)
6.2.2 Identification of fractures through conventional logging
211(12)
6.2.3 Comprehensive identification of volcanic fractures in wells
223(3)
6.3 Interpretation and evaluation of volcanic reservoir fracture parameters
226(13)
6.3.1 Interpretation of fracture parameters
226(3)
6.3.2 Evaluation of fracture development
229(3)
6.3.3 Evaluation of fracture effectiveness
232(4)
6.3.4 Evaluation of fracture occurrence (configuration)
236(3)
6.4 Prediction of fractures in volcanic reservoirs
239(31)
6.4.1 Seismic response characteristics of fractures
240(1)
6.4.2 Method of post-stack seismic attribute analysis
241(11)
6.4.3 Prestack fracture prediction method
252(11)
6.4.4 Fracture parameter inversion methods
263(2)
6.4.5 Methods for optimization of volcanic reservoir fracture prediction
265(5)
6.5 Technological applications
270(3)
6.5.1 Prediction of favorable reservoir zone in volcanic gas reservoirs
270(1)
6.5.2 Well location optimization
270(1)
6.5.3 Determination of vertical distribution of fractures for analysis of bottom water coning
270(1)
References
270(3)
Chapter 7 Parameter Interpretation for Fractured Volcanic Reservoirs
273(40)
7.1 Challenges in parameter interpretation and technical solutions
273(3)
7.1.1 Challenges in interpretation of volcanic reservoir parameters
273(1)
7.1.2 Solutions and technical approaches
274(2)
7.2 Preprocessing of log data
276(2)
7.2.1 Curve joining
276(1)
7.2.2 Core-depth adjustment and repositioning
277(1)
7.2.3 Normalization of logging curves
277(1)
7.3 Interpretation of the porosity of volcanic reservoirs
278(16)
7.3.1 Conceptual model for porosity calculation
278(2)
7.3.2 Determination of matrix parameters in volcanic rocks
280(5)
7.3.3 Effective porosity in matrix
285(9)
7.3.4 Total porosity
294(1)
7.4 Interpretation of permeability in volcanic reservoirs
294(5)
7.4.1 Matrix permeability
295(4)
7.4.2 Total permeability
299(1)
7.5 Techniques of gas saturation interpretation for volcanic rocks
299(10)
7.5.1 Mechanisms of electrical conductivity in volcanic rocks
299(4)
7.5.2 Gas saturation in rock matrix
303(6)
7.5.3 Original gas saturation in fractures and cavities
309(1)
7.6 Technical applications
309(4)
7.6.1 Providing parameters for reservoir classification and evaluation and reserve calculation
310(1)
7.6.2 Facilitating the construction of geological attribute models and fluid models
310(2)
References
312(1)
Chapter 8 Identification of Gas and Water Zones in Volcanic Gas Reservoirs
313(34)
8.1 Research challenges and technical solutions
313(2)
8.1.1 Challenges in the identification of gas and water zones in volcanic rocks
313(1)
8.1.2 Technical solutions
313(2)
8.2 Geological logging and formation test identification
315(3)
8.2.1 Geological logging methods for identifying gas and water zones
315(2)
8.2.2 Formation test method for identifying gas and water zones
317(1)
8.3 Well logging identification techniques
318(20)
8.3.1 Nuclear magnetic logging identification techniques
320(4)
8.3.2 Acoustic logging identification technique
324(5)
8.3.3 Array induction logging identification technique
329(2)
8.3.4 Conventional well log-based identification technique
331(7)
8.4 Volcanic gas layer and water zone identification: the comprehensive approach
338(9)
8.4.1 Establishment of gas-bearing property profiles for single wells by integrating single-well data
340(1)
8.4.2 Further characterization of gas-bearing properties for target layers through multiwell correlation
341(4)
8.4.3 Validating interpretation results through formation tests and improving interpretation models, providing a basis for the interpretation of new wells
345(1)
References
345(2)
Chapter 9 Effective Reservoir Identification and Prediction
347(46)
9.1 Research challenges and technical solutions
347(2)
9.1.1 Challenges in the identification and prediction of effective reservoirs
347(1)
9.1.2 Technical solutions
348(1)
9.2 Identification of effective volcanic reservoirs
349(28)
9.2.1 Qualitative identification of effective reservoirs
349(13)
9.2.2 Quantitative identification of effective reservoirs
362(15)
9.3 Prediction of effective volcanic reservoirs
377(11)
9.3.1 Seismic response characteristics of effective volcanic reservoirs
379(3)
9.3.2 Classification and prediction techniques for effective volcanic reservoirs
382(6)
9.4 Applications
388(5)
9.4.1 Optimizing well location and improving the success rate of development well placement
388(2)
9.4.2 Optimizing well trajectory design and improving the reservoir encounter ratio of horizontal wells
390(1)
References
390(3)
Chapter 10 Characterization of Accumulation-Permeation Units in Volcanic Gas Reservoirs
393(64)
10.1 Concept and characterization of accumulation-permeation units
393(4)
10.1.1 Concept of the accumulation-permeation unit
393(2)
10.1.2 Challenges in characterizing accumulation-permeation units (A-P units)
395(1)
10.1.3 Technical solutions
395(2)
10.2 Identification and prediction of accumulation-permeation units
397(31)
10.2.1 Single-well identification
397(15)
10.2.2 Profile identification
412(11)
10.2.3 Prediction of planar distribution
423(4)
10.2.4 Prediction of spatial distribution
427(1)
10.3 Characterization of accumulation-permeation units
428(22)
10.3.1 Characterization of geometry and scale
428(8)
10.3.2 Connectivity characterization
436(6)
10.3.3 Characterization of accumulation-permeation (A-P) capacity
442(5)
10.3.4 Distribution of volcanic accumulation-permeation (A-P) units
447(3)
10.4 Applications
450(7)
10.4.1 Revealing the planar distribution of A-P units to guide the optimization of well location
450(3)
10.4.2 Optimizing horizontal well trajectory design under the guidance of the spatial distribution of A-P units
453(1)
10.4.3 Guiding well-controlled dynamic reserve evaluation based on the scale and A-P capacity of A-P units
453(2)
References
455(2)
Chapter 11 Characterization of Microstructures of Volcanic Gas Reservoirs
457(86)
11.1 Challenges and solutions
457(3)
11.1.1 Challenges in characterizing volcanic reservoir microstructures
457(1)
11.1.2 Technical solutions and approaches
458(2)
11.2 Characterization of reservoir spaces in volcanic gas reservoirs
460(29)
11.2.1 Classification of reservoir spaces in volcanic gas reservoirs
460(3)
11.2.2 Identification of reservoir spaces in volcanic gas reservoirs
463(12)
11.2.3 Characterization of reservoir spaces in volcanic gas reservoirs
475(14)
11.3 Characterization of throats in volcanic gas reservoirs
489(19)
11.3.1 Classification of throats in volcanic gas reservoirs
489(4)
11.3.2 Identification of throats in volcanic gas reservoirs
493(5)
11.3.3 Characterization of throats in volcanic reservoirs
498(10)
11.4 Characterization of accumulation-permeation patterns in volcanic reservoirs
508(17)
11.4.1 Classification of accumulation-permeation patterns in volcanic gas reservoirs
509(4)
11.4.2 Characterization of accumulation-permeation (A-P) patterns in volcanic gas reservoirs
513(12)
11.5 Characterization of the microproducing capacity for volcanic gas reservoirs
525(18)
11.5.1 Throat cutoff thresholds of volcanic gas reservoirs
526(7)
11.5.2 Permeability cutoff and permeability classification in volcanic gas reservoirs
533(1)
11.5.3 Characterization of effective pore volume in volcanic gas reservoirs
533(3)
11.5.4 Characterization of the microproducing capacity of volcanic gas reservoirs
536(4)
References
540(3)
Chapter 12 Geological Modeling for Volcanic Gas Reservoirs
543(22)
12.1 Challenges in model building and technical solutions
543(4)
12.1.1 Geological characteristics and challenges in geological model building
543(2)
12.1.2 Technical solutions
545(2)
12.2 Geological model building for volcanic gas reservoirs
547(15)
12.2.1 Multilevel structural model building techniques
547(3)
12.2.2 Multilevel reservoir framework model building technique
550(5)
12.2.3 Attribute model building constrained by framework models
555(6)
12.2.4 Fluid distribution model building under architectural control
561(1)
12.3 Applications and results
562(3)
12.3.1 Evaluating original gas in place (OGIP) of gas reservoirs
562(1)
12.3.2 Guiding well location optimization and horizontal well trajectory design
563(1)
12.3.3 Providing digital models for numerical simulation
563(1)
References
563(2)
Index 565
Dr. Ran Qiquan, director of the oil & gas development & strategy planning department at RIPED, a professorship senior engineer, doctoral supervisor and senior technical expert of CNPC. He has significant experience in oil & gas field development technology research, especially in volcanic gas reservoirs and unconventional oil & gas reservoirs. The research subjects covered oil & gas field development geology, development program, reservoir engineering, simulation software R&D, and strategic planning. He has won 24 awards for scientific and technological achievements, published 94 papers, 7 monographs, and owns 34 software copyrights. Yongjun, Senior Well Logging Engineer at PetroChina Yuanhui, Senior Geologist at PetroChina Lin, Senior Geologist at PetroChina Min, Senior Reservoir Engineer at PetroChina