1. Home
  2. Books
  3. Non-Fiction
  4. Technology
  5. Mechanical engineering & materials

Free shipping on orders over $99
Machine Learning Applications in Subsurface Energy Resource Management

Machine Learning Applications in Subsurface Energy Resource Management

State of the Art and Future Prognosis

by Srikanta Mishra
Hardback
Publication Date: 27/12/2022
Be the first to write a review

Share This Book:

12%
OFF
RRP  $252.00

RRP means 'Recommended Retail Price' and is the price our supplier recommends to retailers that the product be offered for sale. It does not necessarily mean the product has been offered or sold at the RRP by us or anyone else.

$221.99
or 4 easy payments of $55.50 with
afterpay
    Please Note: We will source your item through a special order. Generally sent within 120 days.
This item qualifies your order for FREE DELIVERY
Add to List

On order from our Australian supplier to our Sydney warehouse.

This backorder is generally sent within 120 days.

Online tracking is available for this item via Australia Post.

Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, preventative maintenance, and text mining)
Details the emerging area of unstructured (text and image) data analysis applied across these multiple domains
Offers multiple perspectives from authors representing operating companies, universities, and research organizations
Provides an array of case studies illustrating the latest application of multiple ML techniques in each application domain
Includes a literature review of each state-of-art application domain
ISBN:
9781032074528
9781032074528
Category:
Machine learning
Format:
Hardback
Publication Date:
27-12-2022
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
360
Dimensions (mm):
229x152mm
Weight:
0.86kg

Our Australian supplier has this title on order. You can place a backorder for this title now and we will ship it to you when it becomes available. 

While we are unable to provide a delivery estimate, most backorders will be delivered within 120 days. If we are informed by our supplier that the title is no longer available during this time, we will cancel and refund you for this item.  Likewise, if no delivery estimate has been provided within 120 days, we will contact our supplier for an update.  If there is still no delivery estimate we will then cancel the item and provided you with a refund.

If we are able to secure you a copy of the title, our supplier will despatch it to our Sydney warehouse.  Once received we make sure it is in perfect condition and then despatch it to you via the Australia Post eParcel service, which includes online tracking.  You will receive a shipping notice from us when this occurs.

You can find this item in:

Environmental science Database design & theory Civil engineering Energy Chemical engineering Energy technology & engineering Mining industry Mathematical theory of computation Geochemistry Materials science Petroleum technology Automatic control engineering Fossil fuel technologies Artificial intelligence Computer science Machine learning
Show more Show less

Reviews

Be the first to review Machine Learning Applications in Subsurface Energy Resource Management.