Stochastic Modeling Geostatistics Principles (9 results)

Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Condition: Fine. Hardback with dust jacket. Dust jacket is in good condition. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.

hardcover. Condition: Very Good. Stochastic Modeling and Geostatistics: Principles, Methods and Case Studies: No. 3 (Computer Applications in Geology) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

hardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Condition: as new. Appears unread. May have a retail sticker on back cover or remainder mark on the text block.

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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condition: New. Language:Chinese.Pages Number: 343 Publisher: Petroleum Industry Press Pub. Date :2000-01 This book includes: reservoir characterization in a review of stochastic simulation methods.